CHENG,CHIN-TSUNG
Name CHENG,CHIN-TSUNG
Job Title Professor
Education Background Ph.D., Graduate Institute of Electrical Engineering, National Taiwan University of Science and Technology
Research Expertise 1.Technology Development for Artificial Intelligence and Neural Network
2.Technology Development for Natural Language and Speech Large Language Model
3.Technology Development for AI Logic and Fuzzy Computing
4.Technology Development for Deep Learning
5.Technology Development for Microarray and Semiconductor Component
6.Technology Development for Intelligent Control and Industry 4.0
7.Technology Development for Big Data Analysis and Web Service
8.Technology Development for Intelligent Network Control And Robot
9.Technology Development for Short-distance wireless Communication and Vehicle Applications
10.Technology Development for Smart Phone on Programming and Application
11.Technology Development for Bioinformatics and Data Mining
Office Tel No. 5573
Email
Lab Link Genomic Computing and Computational Intelligence Laboratory
Country School Name Department Degree
國立雲林工業專科學校 現改制為國立虎尾科技大學 電機科 專科
國立台灣工業技術學院 現改制為國立台灣科技大學 電機系 學士
國立台灣工業技術學院 現改制為國立台灣科技大學 電機所 碩士
國立台灣工業技術學院 現改制為國立台灣科技大學 電機所 博士
Year Paper Title
2025 Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under Hausdorff Distance Clustering Algorithm, International Journal of Fuzzy Systems, vol. 27, pp. pp. 834–852-, Jul. 2025
2025 Interval Fuzzy c-Bivariate Regression Models with Box-Cox Transformation Clustering Approach for the Interval-Valued Data, INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2025
2024 Editorial Message: Special Issue on Advances Fuzzy Methods on Control, Robotics and Applications, International Journal of Fuzzy Systems, vol. 26, pp. pp. 331–332-, Feb. 2024
2024 Text-Independent Speaker Verification Using Lightweight 3D Convolutional Neural Networks, 2024 International Conference on System Science and Engineering, ICSSE 2024, 2024
2023 New Interval Improved Fuzzy Partitions Fuzzy C-Means Clustering Algorithms under Different Distance Measures for Symbolic Interval Data Analysis, Appl. Sci., pp. 12531-, Nov. 2023
2023 An Efficient Intuitionistic Fuzzy Sets Base Stations Deployment Strategy in Internet of Things Systems, International Journal of Fuzzy Systems, pp. pages 1882–1894-, Feb. 2023
2023 Classifying Images of Two-Dimensional Fractional Brownian Motion through Deep Learning and Its Applications, Appl. Sci., vol. 13, pp. pp. 1–25-, Jan. 2023
2022 Editorial Message: Special Issue on Advances Fuzzy Methods on Learning, Control, and Modeling, INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, Nov. 2022
2022 Editorial Message: Special Issue on Advances Fuzzy Methods on Learning, Control, and Modeling, International Journal of Fuzzy Systems, vol. 24, pp. pp. 3796–3797-, Nov. 2022
2022 Multi-hop based energy-saving control scheme for internet-of-things systems, Journal of the Chinese Institute of Engineers, vol. 45, 6, pp. pp. 543–555-, Jun. 2022
2022 Rough IPFCM Clustering Algorithm and Its Application on Smart Phones with Euclidean Distance, Applied Sciences, pp. pp. 1–16-, May. 2022
2022 Editorial Message: Special Issue on Advances Fuzzy methods on Control, Clustering and Decision-Making, International Journal of Fuzzy Systems, vol. 24, pp. pp. 1250–1251-, Mar. 2022
2020 An Efficient Data Collection Path Planning Scheme for Wireless Sensor Networks with Mobile Sinks, EURASIP Journal on Wireless Communications and Networking, Dec. 2020
2020 Interval Fuzzy C-Regression Models with Competitive Agglomeration for Symbolic Interval-Valued Data, International Journal of Fuzzy Systems, vol. 22, pp. 891-900, Apr. 2020
2020 Editorial Message: Special Issue on Advances in Fuzzy Systems and Type-2 Fuzzy Sets, International Journal of Fuzzy Systems, vol. 22, pp. pp. 337-, Feb. 2020
2019 IPFCM Clustering Algorithm Under Euclidean and Hausdorff Distance Measure for Symbolic Interval Data, International Journal of Fuzzy Systems, vol. 21, pp. pp. 2102–2119-, Nov. 2019
2019 Nonlinear principal component analysis based deep associative memory, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 929-932, Oct. 2019
2019 Editorial Message: Special Issue on Advances in Intelligent Fuzzy Systems, International Journal of Fuzzy Systems, vol. 22, pp. 674-675, Apr. 2019
2019 Editorial Message: Special Issue on Advances in Intelligent Fuzzy Systems, International Journal of Fuzzy Systems, pp. 674-675, 2019
2018 Welcome Message, iFUZZY 2018 - 2018 International Conference on Fuzzy Theory and Its Applications, 2018
2017 Electrical and physical characteristics of metal–oxide–semiconductor structured nonvolatile memory with HfLaxTiyOz charge trapping layers, Journal of Vacuum Science & Technology B, pp. 022203-1, Mar. 2017
2017 An obstacle avoidance of large-scale indoor tricycle drive cleaning robot using laser scanner, IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017
2017 Electrical and physical characteristics of metal-oxide-semiconductor structured nonvolatile memory with HfLaxTiyOz charge trapping layers, Journal of Vacuum Science and Technology B: Nanotechnology and Microelectronics, 2017
2017 A hybrid case base reasoning system for forecasting, 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017, pp. 558-560, 2017
2017 Real time human tracking using improved CAM-shift, IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017
2016 Editorial Message: IJFS Journal Information and Best Paper Award, International Journal of Fuzzy Systems, vol. 19, pp. pp 731–731-, Oct. 2016
2016 Microarray Data Analysis with Support Vector Machine, Lecture Notes in Electrical Engineering, pp. 143-150, Jan. 2016
2016 Feature selection of weather data with interval principal component analysis, 2016 IEEE International Conference on System Science and Engineering, ICSSE 2016, 2016
2016 Improved radial basis function network for the heteroscedasticity noises, 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, pp. 1918-1921, 2016
2015 Physical and electrical characteristics of hydrothermally synthesized nanocrystalline TiO2 thin films, Journal of Vacuum Science & Technology B, vol. 33, pp. 1-4, Oct. 2015
2015 Parameter Estimation of Chaotic Dynamical Systems Using HEQPSO, Journal of Information Science and Engineering, pp. 675-689, Mar. 2015
2015 Intelligent mobile web service for bioinformatics systems, ICCSS 2015 - Proceedings: 2015 International Conference on Informative and Cybernetics for Computational Social Systems, pp. 34-39, 2015
2015 Feature genes selection of adult ALL microarray data with affinity propagation clustering, 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015, pp. 230-231, 2015
2015 IOS based Multi-Cloud Manage System, Frontiers in Artificial Intelligence and Applications, pp. 55-62, 2015
2015 The Feature Selection with Multi-Granulation for Interval-Value Data, Frontiers in Artificial Intelligence and Applications, pp. 89-99, 2015
2014 Wavelet support vector machine for face recognition, Journal of Marine Science and Technology, pp. 295-303, Sep. 2014
2014 LTS-SVMR for Modeling of Nonlinear Systems with Noise and Outliers, Advances in Intelligent Systems and Computing, pp. 105-115, Jun. 2014
2014 iPhone as Multi-CAM and Multiviewer, Advances in Intelligent Systems and Computing, pp. 17-24, Feb. 2014
2014 LTS-SVM learning mechanism with wavelet for modeling of nonlinear systems with noise and outliers, IEEE International Conference on Control and Automation, ICCA, pp. 1449-1453, 2014
2014 Interval fuzzy possibilistic c-means clustering algorithm on smart phone implement, Proceedings of the SICE Annual Conference, pp. 78-82, 2014
2014 iPhone as Multi-CAM and multi-viewer, Advances in Intelligent Systems and Computing, pp. 17-24, 2014
2014 Feature genes selection and classification with SVM for microarray data of lung tissue, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014, pp. 1054-1058, 2014
2014 Robust interval support vector interval regression networks for interval-valued data with outliers, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014, pp. 1290-1295, 2014
2013 Hausdorff Distance Measure Based Interval Fuzzy Possibilistic C-Means Clustering Algorithm, International Journal of Fuzzy Systems, vol. 15, pp. 471-479, Dec. 2013
2013 Modified Quantum-Behaved Particle Swarm Optimization for Parameters Estimation of Generalized Nonlinear Multi-regressions Model Based on Choquet Integral with Outliers, Applied Mathematics and Computation, pp. 282-295, Sep. 2013
2013 The Box-Cox transformation-based ARFNNs for identification of nonlinear MR damper system with outliers and skewness noises, Applied Mechanics and Materials, vol. 284, pp. pp. 2120–2123-, May. 2013
2012 Radial Basis Function Networks With Linear Interval Regression Weights for Symbolic Interval Data , IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, pp. 69-80, Feb. 2012
2011 A Fast Identification Algorithm with Skewness Noises under Box-Cox Transformation-Based Annealing Robust Fuzzy Neural Networks, Communications in Computer and Information Science: Next Wave in Robotics, pp. 193-201, Oct. 2011
2011 Least Trimmed Square-Support Vector Machine Regression for Modeling of Chaotic Time Series Systems, International Journal of Intelligent Systems Science and Technology, Sep. 2011
2011 A Modified Quantum-Behaved Particle Swarm Optimization for Large Scale Global Optimization, ICIC Express Letters, pp. 1301-1305, Aug. 2011
2011 Modeling of Nonlinear Aggregation for Information Fusion Systems with Outliers Based on Choquet Integral, Sensors, pp. 2426-2446, Jun. 2011
2011 Gene Selection of Ovarian Cancer Microarray Data with Machine Learning approach, International Journal of Intelligent Systems Science and Technology, pp. 24-30, May. 2011
2011 Radial basis function networks with hybrid learning for system identification with outliers, Applied Soft Computing, pp. 3083-3092, Mar. 2011
2011 Automatic Measurement Systems for Electrical and Reliability Characteristics of Nonvolatile Memory Device, International Journal of Intelligent Systems Science and Technology, pp. 49-56, Feb. 2011
2010 Annealing robust radial basis function networks with support vector regression for nonlinear inverse system identification with outliers, Journal of Vibration and Control, pp. 1915-1940, Dec. 2010
2010 ARFNNs under Different Types SVR for Identification of Nonlinear Magneto-Rheological Damper Systems with Outliers, International Journal of Fuzzy Systems, pp. 311-320, Nov. 2010
2010 Charge trapping and current-conduction mechanisms of metal–oxide–semiconductor capacitors with LaxTay dual-doped HfON dielectrics, Solid-State Electronics, pp. 1197-1203, Oct. 2010
2010 Interval competitive agglomeration clustering algorithm, Expert Systems with Applications, pp. 6567-6578, Sep. 2010
2010 Robust Interval Competitive Agglomeration Clustering Algorithm with Outliers, International Journal of Fuzzy Systems, pp. 227-236, Aug. 2010
2010 Annealing Robust Recurrent Radial Basis Function Neural Networks for Identification of Nonlinear Dynamic Systems with outliers, International Journal of Intelligent Systems Science and Technology, pp. 1-5, Jul. 2010
2010 ARFNNs with SVR for prediction of chaotic time series with outliers, Expert Systems with Applications, pp. 4441-4451, Jun. 2010
2010 A Fast Parameters Estimation for Nonlinear Multi-regressions Based on Choquet Integral with Quantum-Behaved Particle Swarm Optimization, Artif Life Robotics, pp. 199-202, May. 2010
2010 Hybrid SVMR-GPR for Modeling of Chaotic Time Series Systems with Noise and Outliers, Neurocomputing, pp. 1686-1693, May. 2010
2010 The Prediction and Investitive Decision Systems for Stock Price with Support Vector Machine and Fuzzy Theory, International Journal of Intelligent Systems Science and Technology, pp. 21-28, Apr. 2010
2010 Composition Effects of TixTay Dual-Doped HfOx/SiO2 Stacked Dielectrics on Electrical and Reliability Characteristics of Advanced Metal-Oxide-Semiconductor Capacitors, IEEE Trans. on Device and Materials Reliability, pp. 116-122, Feb. 2010
2009 Photovoltaic characterizations of crisscrossed silicon nanorods solar cells, IEEE Electron Device Letters, pp. 1299-1301, Dec. 2009
2009 Novel Fuzzy Ant Colony System for Parameter Determination of Fuzzy Controllers, International Journal of Fuzzy Systems, pp. 298-307, Dec. 2009
2009 Fabrication and characterizations of black hybrid silicon nano-materials as light trapping textures for silicon solar cells, Journal of the Electrochemical Society, pp. pp. H356-H360-, Oct. 2009
2009 Hybrid robust approach for TSK fuzzy modeling with outliers, Expert Systems with Applications, pp. 8925-8931, Oct. 2009
2009 Intelligent Information-Integrated Systems for Smart Home, International Journal of Intelligent Systems Science and Technology, pp. 41-46, Oct. 2009
2009 Characterization of TiOxNy nanoparticles embedded in HfOxNy as charge trapping nodes for nonvolatile memory device applications, Microelectronic Engineering, pp. 1692-1695, Aug. 2009
2009 Identification of MIMO systems using radial basis function networks with hybrid learning algorithm, Applied Mathematics and Computation, pp. 184-196, Aug. 2009
2009 ARRBFNs with SVR for Prediction of Chaotic Series with Outliers, Artif Life Robotics, pp. 29-33, Jul. 2009
2009 A fast identification algorithm with outliers under Box–Cox transformation-based annealing robust radial basis function networks, Artif Life Robotics, pp. 62-66, Jul. 2009
2009 Robust Neural-Fuzzy Method for Function Approximation, Expert Systems with Applications, pp. 6903-6913, Jun. 2009
2009 Two-Stages Support Vector Regression for Fuzzy Neural Networks with Outliers, International Journal of Fuzzy Systems, pp. 20-28, Feb. 2009
2008 Characterization of CoxNiyO hybrid metal oxide nanoparticles as charge trapping nodes in nonvolatile memory devices, Solid State Electronics, vol. 52, pp. 1530-1535, Oct. 2008
2008 Characterization of various alloying metal oxide nanoparticles embedded in HfOxNy as charge trapping nodes in nonvolatile memory devices, Microelectronic Engineering, vol. 85, pp. 1766-1771, Aug. 2008
2007 Bimetallic oxide nanoparticles CoxMoyO as charge trapping layer for nonvolatile memory devices applications, Applied Physics Letters, pp. 062114-1, Sep. 2007
2007 CPBUM Neural Networks for Modeling with Outliers and Noise, Applied Soft Computing, Jul. 2007
2007 Input-output stability of discretizing of continuous-time controller via CPBUM neural networks, Dynamics of Continuous, Discrete and Impulsive Systems A Supplement, Advances in Neural Networks, pp. 119-128, Mar. 2007
2007 Work function tuning of the TixTayN metal gate electrode for advanced metal-oxide-semiconductor devices applications, Applied Physics Letters, pp. 062114-1, Jan. 2007
2006 Annealing Robust Fuzzy Basis Function for Modeling with Noise and Outliers, International Journal of Computer Applications in Technology, vol. 27, pp. 166-173, Oct. 2006
2006 Hybrid Approach of Selecting Hyper-Parameters of Support Vector Machine for Regression, IEEE Trans. on Systems, Man, and Cybernatics Part B:Cybernetics, vol. 36, pp. 699-709, Jun. 2006
2005 Robust adaptive tracking control via cpbum neural network for mimo nonlinear systems, International Journal of Electrical Engineering, vol. 12, pp. 313-324, Jan. 2005
2004 Discretizing Continuous-Time Controllers with Fuzzy Logic Systems and Its Stability Analysis, Asian Journal of Control, pp. 529-538, Dec. 2004
2004 Annealing Robust Radial Basis Function Networks for Function Approximation with Outliers, Neurocomputing, pp. 123-139, Jul. 2004
2004 Selection of Initial Structures with Support Vector Regression for Fuzzy Neural Networks, Internatioal Journal of Fuzzy Systems, Jan. 2004
2003 Support Vector Interval Regression Networks for Interval regression analysis, Fuzzy Set and Systems, pp. 283-300, Aug. 2003
2003 Neural Gain Scheduling Chebyshev Polynomial Based Unified Model Network Controller for Linear Parameter-Varying System, Internatioal Journal of Control and Intelligent Systems, pp. 125-132, Aug. 2003
2002 Robust Support Vector Regression Networks for Function Approximation with Outliers, IEEE Trans. on Neural Networks, pp. 1322-1330, Aug. 2002
2001 New Fuzzy Modeling Based on Input-Output Pseudolinearization and Its Digital Approximation via Walsh Functions, Internatioal Journal of Fuzzy Systems, pp. 503-511, May. 2001
2000 Nonlinear Adaptive Inverse Control for the Magnetic Bearing System, Journal of Magnetism and Magnetic Materials, pp. 186-188, Aug. 2000
2000 Control of Magnetic Bearing Via the Chebyshev Polynomial Based Unified Model Neural Network, IEEE Trans. on Systems, Man, and Cybernatics Part B:Cybernetics, pp. 85-92, Jan. 2000
1999 Satbilization of Non-holonomic Chained Systems by Gain Scheduling, International Journal of System Science, pp. 441-449, Jul. 1999
1999 A Neural Gain Scheduling Networks Controller (NGSNC) for Nonholonomic Systems, IEEE Trans. on Systems, Man, and Cybernatics Part A: Systems, and Man, pp. 654-661, Jun. 1999
1998 The Chebyshev Polynomial Based (CPB) Unified Model Neural Networks for Function Approximation, IEEE Trans. on Systems, Man, and Cybernatics Part B:Cybernetics, pp. 925-935, Dec. 1998
1997 Mixing Input-Output Pseudolinearization and Gain Scheduling Techniques for Satbilization of Mobile Robot with Two Independently Driven Wheels, Robotica, pp. 573-582, Oct. 1997
Year Paper Title
2025 Hung-Jen Chen and Jin-Tsong Jeng, Study of Improved Bayesian Network-Based Graph Neural Network Framework, 中華民國第三十三屆模糊理論及其應用研討會, Nov. 05-06, 2025, TWN臺灣
2025 Yu-Chun Chen, Chih-Cheng Cheng, Nai-Cheng Shih and Jin-Tsong Jeng*, Study on Novel Granular Computing for Symbolic AI Data Set, 2025 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2025), Nov. 04-07, 2025, TWN臺灣
2025 Cheng-Hua Yu and Jin-Tsong Jeng, Study on Decentralized Federated Learning under Data Integration Mechanism Exploration, 2025 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2025), Nov. 04-07, 2025, TWN臺灣
2025 Hsiu-Fu Su, Jin-Tsong Jeng, Study on Granular Neural Networks for Symbolic AI Data Set, The 2025 International Automatic Control Conference (CACS 2025), Nov. 04-07, 2025, TWN臺灣
2025 Yan-Fu Chen, Wen-Chien Lo and Jin-Tsong Jeng, An Intelligent Game Assistant Based on Voice Generation and LLaMA 3 Language Model, 2025 IET International Conference on Engineering Technologies and Applications, Oct. 23-25, 2025, TWN臺灣
2025 Cheng-Han Chang, Zhe-Wei Wu, Jau-Yang Chang and Jin-Tsong Jeng, MULTI-AGENT AI-ASSISTED PYTHON DEVELOPMENT SYSTEM, 2025 IET International Conference on Engineering Technologies and Applications, Oct. 23-25, 2025, TWN臺灣
2025 宋協燦, 高浩城, 郭建杰, *鄭錦聰, 圖型趨勢與數值混合的AI股市預測系統, 第三十八屆電腦視覺、圖學暨影像處理研討會, Aug. 23-25, 2025, TWN臺灣
2025 Chin-Chun Lin, Chen-You Chen, Jin-Tsong Jeng, An Intelligent Campus Tour System Based on Llama 3.2 and Llama 3.2 Vision, 第三十八屆電腦視覺、圖學暨影像處理研討會, Aug. 23-25, 2025, TWN臺灣
2025 Hsiang-Yu Fan and Jin-Tsong Jeng, Extension and Integration of Deep learning for MATLAB Cooperating with Python, 2025年中華民國系統科學與工程研討會(NSSSE 2025), May. 15-17, 2025, TWN臺灣
2025 Yan-Sheng Wu and Jin-Tsong Jeng, Study on Chinese Lexical Semantic Knowledge Graph, 2025年中華民國系統科學與工程研討會(NSSSE 2025), May. 15-17, 2025, TWN臺灣
2025 Chih-Cheng Cheng and Jin-Tsong Jeng, Corpus Construction and Text-to-Speech Development for Taiwanese Hokkien, 2025年中華民國系統科學與工程研討會(NSSSE 2025), May. 15-17, 2025, TWN臺灣
2024 羅皓文, 鄭錦聰, 模糊濾波器應用於水下監測系統資料分析, 中華民國第三十二屆模糊理論及其應用研討會, Oct. 23-26, 2024, TWN臺灣
2024 Sheng-Chieh Chang and Jin-Tsong Jeng, An Extended Interval Improved Fuzzy Partitions Fuzzy C-Means Clustering Algorithms, 2024 International Conference on Fuzzy Theory and Its Applications (iFUZZY), Aug. 09-12, 2024, JPN日本
2024 Text-Independent Speaker Verification Using Lightweight 3D Convolutional Neural Networks, Text-Independent Speaker Verification Using Lightweight 3D Convolutional Neural Networks, The International Conference on System Science and Engineering 2024 (ICSSE 2024), Jun. 23-27, 2024, TWN臺灣
2023 Nai-Cheng Shiha and *Jin-Tsong Jenga and Chen-Chia Chuang, Interval Robust Granular Computing with Hausdorff Distance Measure for the Clustering of Noise Symbolic Data, The 24th International Symposium on Advanced Intelligent Systems (ISIS), Dec. 05-08, 2023, KOR大韓民國(南韓)
2023 Hao-Dong Huang, Chen-Chia Chuang and Jin-Tsong Jeng*, XAI for Convolution Auto-Encoder Network under Lightweight Model, The 2023 International Automatic Control Conference (CACS 2023), Oct. 25-28, 2023, TWN臺灣
2023 Sheng-Chieh Chang, Jin-Tsong Jeng* and Wei-Ching Chuang, Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means under Euclidean Distance, The 2023 International Conference on Fuzzy Theory and Its Applications (iFuzzy 2023), Oct. 25-28, 2023, TWN中華民國(臺灣)
2023 Hao-Wen Lo and Jin-Tsong Jeng, Enhancing Affinity Propagation Clustering through Cumulative Density Function and Distance Metrics Computation, The 2023 International Conference on Fuzzy Theory and Its Applications (iFuzzy 2023), Oct. 25-28, 2023, TWN中華民國(臺灣)
2023 S.-C. Chang; W.-C. Chuang; J.-T. Jeng, Interval improved fuzzy partitions fuzzy C-means under Hausdorff distance, IET International Conference on Engineering Technologies and Applications (ICETA 2023), Oct. 20-22, 2023, TWN中華民國(臺灣)
2023 Jin-Tsong Jeng*, Nai-Cheng Shiha, Chen-Chia Chuang, and Tsu-Tian Lee, Interval Robust Granular Computing with City-block Distance Measure for Symbolic Data Analysis, 2023 The 20th World Congress of the International Fuzzy Systems Association (IFSA 2023), Aug. 19-22, 2023, KOR大韓民國(南韓)
2022 Yao-Jheng Huang, Chen-Chia Chuang, and Jin-Tsong Jeng , Improved Knowledge-Base with E-HowNet and Improved Corpus with Word2Vec for Chinese Word2Set, 2022 International Automatic Control Conference (CACS 2022), Nov. 02-05, 2022, TWN中華民國(臺灣)
2022 Hao-Dong Huang and Jin-Tsong Jeng, Explainable AI for Auto-Encoder, 2022 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2022), Nov. 02-05, 2022, TWN中華民國(臺灣)
2022 Yu-Hong Lin and Jin-Tsong Jeng, Study on MBGD RDA Algorithm under Different Rule of Dropout, 2022 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2022), Nov. 02-05, 2022, TWN中華民國(臺灣)
2022 Hsuan-Jui Chang; Jin-Tsong Jeng, Comparing the Prediction Accuracy with Passenger Time Series of Taipei MRT under Different Deep RNNs, 2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA), Oct. 13-15, 2022, TWN中華民國(臺灣)
2022 Sin-Hua Wu, Jung Hsiao, Yan-Sheng Wu, Jin-Tsong Jeng, AI Food Recommendation Systems, 2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA), Oct. 13, 2022 ~ Jul. 15, 2023, TWN中華民國(臺灣)
2022 Sheng-Chieh Chang, Chen-Chia Chuang, and Jin-Tsong Jeng, Rough IPFCMClustering Algorithm with Hausdorff Distance for Symbolic Data Analysis, 2022 International Conference on Systems Science and Engineering, May. 25-28, 2022, TWN中華民國(臺灣)
2022 Hao Wen Luo and Jin Tsong Jeng, Development of Intelligent Aquaculture Water Quality Monitoring Systems, 2022 International Conference on Systems Science and Engineering, May. 25-28, 2022, TWN中華民國(臺灣)
2022 Chih Ching Hsiao, Chen Chia Chuang, and Jin Tsong Jeng, Implementation of Explainable AI in Gesture Image Recognition, 2022 International Conference on Systems Science and Engineering, May. 25-28, 2022, TWN中華民國(臺灣)
2021 Sheng-Chieh Chang, Chen-Chia Chuang, and Jin-Tsong Jeng*, Rough IPFCM Clustering Algorithm and Its Application on Smart Phone with Euclidean Distance, The 22th International Symposium on Advanced Intelligent Systems, Dec. 14-17, 2021, KOR大韓民國(南韓)
2021 蔡仲威、陳宏維、蔡浚宏、鄭錦聰*, 深度學習為基礎的農場侵入偵測系統, IET CETA 2021第一屆IET工程技術與應用研討會, Nov. 25-26, 2021, TWN中華民國(臺灣)
2021 Yau-Teng Jeng, Chen-Chia Chuang, Jin-Tsong Jeng, Improvement of Latent Dirichlet Allocations under Proposed Chinese Word2Set with Word2Vec, 2021 International Automatic Control Conference (CACS 2021), Nov. 02-05, 2021, TWN中華民國(臺灣)
2021 何昕芷、游隆程、鄭錦聰*, 以深度學習為基底的智慧監控系統, 2021中華民國航太學會學術研討會(2021 AASRC), Oct. 19, 2021, TWN中華民國(臺灣)
2021 何紹宇、周子鈺、張峰秉、鄭錦聰*, 基於雙向編碼表示模型設計速食點餐對話系統, 2021中華民國第二十九屆模糊理論及其應用研討會, Oct. 04-07, 2021, TWN中華民國(臺灣)
2021 薛宏緯、黃梓軒、鄭錦聰*, 深度學習交通違規動態偵測系統之開發, 2021中華民國第二十九屆模糊理論及其應用研討會, Oct. 04-07, 2021, TWN中華民國(臺灣)
2021 Hao-Dong Huang and Jin-Tsong Jeng*, Calculate the Cultivation Density of Shrimp by Object Detection, 2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2021), Oct. 04-07, 2021, TWN中華民國(臺灣)
2021 [75] Ying-Peng Wang and Jin-Tsong Jeng*, A Detection Method for Object Head Direction with Broad Learning System, 2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2021), Oct. 04-07, 2021, TWN中華民國(臺灣)
2021 Sheng-Jie Hung and Jin-Tsong Jeng*, Speech I/O based on Improved Chinese Word2Set, 2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2021), Oct. 04-07, 2021, TWN中華民國(臺灣)
2020 Jin-Tsong Jeng*, Chen-Chia Chuang and Da-Xiang Huang, Keywords Analysis with Natural Language Processing Tools, The 2020 International Automatic Control Conference (CACS 2020), Nov. 03-06, 2020, TWN中華民國(臺灣)
2020 Yau-Teng Jeng, Chen-Chia Chuang and Jin-Tsong Jeng*, Improved Chinese Word2Set with Word2Vec, International Conference on Fuzzy Theory and Its Applications (iFUZZY 2020), Nov. 02-05, 2020, TWN中華民國(臺灣)
2020 Leel Vinod and Jin-Tsong Jeng*, Artificial Intelligence Visual Surveillance for Autonomous Farm Management, 2020 International Conference on System Science and Engineering (ICSSE 2020), Aug. 30-Sep. 02, 2020, TWN中華民國(臺灣)
2019 Jin-Tsong Jeng*, Sheng-Chieh Chang, Tsu-Tian Lee, Rough Interval Fuzzy Possibilistic C-means Clustering Algorithm with Hausdorff Measure for Symbolic Interval Data, The 20th International Symposium on Advanced Intelligent Systems, Dec. 03-06, 2019, KOR大韓民國(南韓)
2019 黃浩東、鄭錦聰, 機械零件辨識, 2019民生電子研討會 (WCE2019), Nov. 28, 2019, TWN中華民國(臺灣)
2019 Jin-Tsong Jeng*, Chen-Chia Chuang, Tsu-Tian Lee and Sheng-Chieh Chang, Rough Interval Fuzzy Possibilistic C-means Clustering Algorithm with Euclidean Measure for Symbolic Interval Data, The 2019 International Automatic Control Conference (CACS 2019), Nov. 13-15, 2019, TWN中華民國(臺灣)
2019 En-Ting Chou and Jin-Tsong Jeng*, Deep Residual Auto-encoder Convolutional Neural Network for Associative Memory, 2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2019), Nov. 07-09, 2019, TWN中華民國(臺灣)
2019 Yau-Teng Jeng and Jin-Tsong Jeng*, Improved word2set: Chinese WordNet-Based Chinese Word Representation Rivaling Neural Word Embedding, 2019 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2019), Nov. 07-09, 2019, TWN中華民國(臺灣)
2019 Jin-Tsong Jeng*, Chen-Chia Chuang, and Zhih-Yuan Huang, Nonlinear Principal Component Analysis Based Deep Associative Memory, 2019 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019), Oct. 05-08, 2019, ITA義大利共和國(義大利)
2019 Jin-Tsong Jeng*, Ping-Lun Liao and Chen-Chia Chuang, Software Design of Intelligent Information-Integrated Systems for Smart Home, Proceedings of 2019 International Conference on Advanced Robotics and Intelligent Systems, Aug. 14-16, 2019, TWN中華民國(臺灣)
2019 Da-Xiang Huang and Jin-Tsong Jeng*, Hardware Performance Analysis of Using Word Embedding to Process Natural Language Tasks with Different Computing Environments, Proceedings of 2019 National Symposium on System Science and Engineering, Mar. 31-Apr. 03, 2019, TWN中華民國(臺灣)
2018 Jin-Tsong Jeng, Zhih-Yuan Huang, Chen-Chia Chuang, Tsu-Tian Lee and Chih-Wen Li, MLP besed Deep Associative Memory for Distributional-valued Data, 2018 International Conference on Fuzzy Theory and Its Applications (iFUZZY 2018), Nov. 13-16, 2018, KOR大韓民國(南韓)
2018 Jhih-Wei Wu and Jin-Tsong Jeng*, Intelligent Data Collection with Smart Sensor, 2018中華民國第二十六屆模糊理論及其應用研討會, Nov. 03-05, 2018, TWN中華民國(臺灣)
2018 Jin-Tsong Jeng1*, Zhi-Qian Wang and Chen-Chia Chuang, Distributional-Valued Variable Analysis for Weather Data, The 2018 International Automatic Control Conference (CACS 2018), Nov. 03-06, 2018, TWN中華民國(臺灣)
2018 Cheng Shao Cheng and Jin Tsong Jeng* , Solving Honeymoon Bridge Based on MLP and Ant Algorithm, 2018中華民國第二十六屆模糊理論及其應用研討會, Nov. 03-06, 2018, TWN中華民國(臺灣)
2018 Jin-Tsong Jeng, Chen-Chia Chuang and Zheng-You Guo, NLPCA based Deep Learning for Prediction of Weather Data, Proceedings of the SICE Annual Conference, Sep. 10-13, 2018, JPN日本
2018 Zhih-Yuan Huang, Jin-Tsong Jeng and Chen-Chia Chuang, Deep Learning Associative Memory with MLP, 2018 IEEE International Conference on System Science & Engineering, Jun. 27-29, 2018, TWN中華民國(臺灣)
2017 Zhi-Qian Wang, Jin-Tsong Jeng*, and Chen-Chia Chuang, Hybrid Machine Learning Approaches of Weather Data with Distribution-Valued Based on Wasserstein Distance, The 2017 International Automatic Control Conference (CACS 2017), Nov. 18-14, 2017, TWN中華民國(臺灣)
2017 Yan-Cheng Li, Jin-Tsong Jeng*, Chen-Chia Chuang and Si-Hao Du, AP Clustering with Wasserstein Distances for Distribution-Valued Data Analysis, 2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY2017), Nov. 11-14, 2017, TWN中華民國(臺灣)
2017 Zheng-You Guo, Jin-Tsong Jeng*, Chih-Ching Hsiao and Sheng-Chieh Chang, Prediction and Classification of Weather Distribution-Valued Data with MLP Neural Networks, 2017 International Conference on Fuzzy Theory and Its Applications (iFuzzy 2017), Nov. 11-14, 2017, TWN中華民國(臺灣)
2017 Chih-Ching Hsiao, Chen-Chia Chuang and Jin-Tsong Jeng, A Hybrid Case Base Reasoning System for Forecasting, The SICE Annual Conference 2017, Sep. 18-21, 2017, JPN日本
2017 Ngoc-Quan Nguyen, Shun-Feng Su, Quoc-Viet Tran, Van-Truong Nguyen and Jin-Tsong Jeng, Real Time Human Tracking Using Improved CAM-Shift, Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, Jun. 26-29, 2017, JPN日本
2017 Zhi-Qian Wang, Jin-Tsong Jeng*, and Chen-Chia Chuang, Hierarchical Clustering of PM2.5 Data with Distribution-Valued Based on Wasserstein Distance , 2017 National Symposium on System Science and Engineering, May. 18-19, 2017, TWN中華民國(臺灣)
2016 Zhi-Qian Wang, Jin-Tsong Jeng, Sheng-Chieh Chang and Chen-Chia Chuang, Feature Selection of Weather Data with Normal-Distribution-Valued Principal Component Analysis, The 2016 International Automatic Control Conference (CACS 2016), Nov. 08-10, 2016, TWN中華民國(臺灣)
2016 Yan-Cheng Li, Zhi-Qian Wang, Jin-Tsong Jeng, Sheng-Chieh Chang and Chen-Chia Chuang, Integrated AP Clustering and Multiclass SVM for Ovarian Microarray Data Analysis, 2016 International Conference on Fuzzy Theory and Its Applications, Nov. 08-10, 2016, TWN中華民國(臺灣)
2016 Jin-Tsong Jeng, Si-Hao Du and Chen-Chia Chuang, Feature Extraction with Locally Linear Embedding for Lung Microarray Data, The SICE Annual Conference, Sep. 18-21, 2016, JPN日本
2016 Hsu-Chih Huang, Chin-Wang Tao, Chang-Han Wu, and Jin-Tsong Jeng, SoPC-Based Evolutionary BFO Computing and Its Application to Tracking Control of Mecanum Mobile Robots, SCIS & ISAIS 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, Aug. 24-27, 2016, JPN日本
2016 Chen-Chia Chuang, Chih-Wen Li, Chen-Xiang Zhang, Chih-Chi Lin, Jin-Tsong Jeng and Chih-Ching Hsiao, A novel approach for linear interval regression models with fuzzy weights, SCIS & ISAIS 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, Aug. 24-27, 2016, JPN日本
2016 Tsung-Bin Lin, Chen-Chia Chuang and Jin-Tsong Jeng, LTS-SVMR Walsh Function Neural Networks for Function Approximation, 2016 National Symposium on System Science and Engineering, Jul. 07-08, 2016, TWN中華民國(臺灣)
2016 Chong-Cheng He and Jin-Tsong Jeng, Feature Selection of Weather Data with Interval Principal Component Analysis, IEEE International Conference on System Science & Engineering, Jul. 06-08, 2016, TWN中華民國(臺灣)
2015 Chen-Chia Chuang, Chih-Wen Li, Chih-Ching Hsiao, Jin-Tsong Jeng and Shun-Feng Su, Linear interval regression models with locally weights for the interval-valued data, 2015 International Automatic Control Conference (CACS), Nov. 17-19, 2015, TWN中華民國(臺灣)
2015 Jin-Tsong Jeng, Chen-Chia Chuang, Sheng-Chieh Chang and Nai-Cheng Shih, Intelligent Computation on Symbolic Data Analysis: the Proposed Clustering Technologies forthe Real Symbolic Data, 2015 International Automatic Control Conference (CACS), Nov. 17-19, 2015, TWN中華民國(臺灣)
2015 Yan-Cheng Li, Zhi-Qian Wang, Jin-Tsong Jeng*, Chih-Kai Chang and Chen-Chia Chuang, Hybrid Affinity Propagation Clustering and Multiclass Support Vector Machine for Adult ALL Microarray Data, 2015 International Conference on Fuzzy Theory and Its Applications (iFUZZY), Nov. 17-19, 2015, TWN中華民國(臺灣)
2015 Sheng-Chieh Chang, Jin-Tsong Jeng,* Kuang-Yang Kou and Chih-Ching Hsiao, Rough Interval Possibilistic C-means Clustering Algorithm, 2015 The 16th International Symposium on Advanced Intelligent Systems, Nov. 03-06, 2015, KOR大韓民國(南韓)
2015 Chen-Chia Chuang, Jin-Tsong Jeng*, Chih-Ching Hsiao, Yu-Yang Ho and Yue- Shiang Liu, Intelligent Mobile Web Service for Bioinformatics, 2015 International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS), Aug. 12-14, 2015, CHN大陸地區(大陸)
2015 Chih-Ching Hsiao, Chen-Chia Chuang, Jin-Tsong Jeng and Shun-Feng Su, The Feature Selection with Multi-Granulation for Interval-Value Data, ICSSE 2015, Jul. 05-07, 2015, JPN日本
2015 Jyun-Long Wu, Chen-Chia Chuang, C.W. Tao, Jin-Tsong Jeng and Ze-Si Huang, iOS based Multi-cloud Manage System, ICSSE 2015, Jul. 05-07, 2015, JPN日本
2015 Tsung-Bin Lin, Jin-Tsong Jeng and Heng-Wei Lee, Least Trimmed Square Support Vector Machine Regression for Modeling of Mitotic Oscillator, 2015 National Symposium on System Science and Engineering, Jul. 01-03, 2015, TWN中華民國(臺灣)
2015 Chen-Chia Chuang, Yan-Cheng Li, Jin-Tsong Jeng*, Chih-Kai Chang and Zhi- Qian Wang, Feature Genes Selection of Adult ALL Microarray Data with Affinity Propagation Clustering, 2015 IEEE International Conference on Consumer Electronics- Taiwan (ICCE-TW), Jun. 05-07, 2015, TWN中華民國(臺灣)
2014 Si-Hao Du, Jin-Tsong Jeng*, Shun-Feng Su and Chih-Ching Hsiao, Feature Genes Selection and Classification with SVM for Microarray Data of Lung Tissue, Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2014), Dec. 02-05, 2014, JPN日本
2014 Chen-Chia Chuang, Shun-Feng Su, Chih-Wen Li, Jin-Tsong Jeng, and Chih-Ching Hsiao, Robust interval support vector interval regression networks for interval-valued data with outliers, Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2014), Dec. 02-05, 2014, JPN日本
2014 Chen-Chia Chuang, C. W. Tao, Chih-Ching Hsiao, Jin-Tsong Jeng, Chen-Wei Jheng , iPhone as baby monitor system, International Conference on Fuzzy Theory and Its Applications (iFUZZY 2014), Nov. 25-27, 2014, TWN中華民國(臺灣)
2014 Jin-Tsong Jeng, Chen-Chia Chuang, Sheng-Chieh Chang and Nai-Cheng Shih, Intelligent Computation on Symbolic Data Analysis: Clustering Technologies with RIPFCM, The 2014 International Automatic Control Conference (CACS 2014), Nov. 25-27, 2014, TWN中華民國(臺灣)
2014 Chih-Ching Hsiao, Guan-Yi Hu and Jin-Tsong Jeng*, Simulated Annealing Based LTS Support Vector Machine Regression, International Conference on Fuzzy Theory and Its Applications (iFUZZY 2014), Nov. 25-27, 2014, TWN中華民國(臺灣)
2014 Chen-Chia Chuang, Chih-Ching Hsiao, Jin-Tsong Jeng, Shun-Feng Su and C. W. Tao, A robust interval fuzzy c-regression models for symbolic interval valued data with outliers, The 2014 International Automatic Control Conference (CACS 2014), Nov. 25-27, 2014, TWN中華民國(臺灣)
2014 Jin-Tsong Jeng*, Chen-Chia Chuang, and Sheng-Chieh Chang, Interval Fuzzy Possibilistic C-Means Clustering Algorithm on Smart Phone Implement, The Society of Instrument and Control Engineers (SICE) Annual Conference, Sep. 08-11, 2014, JPN日本
2014 Chen-Chia Chuang, Heng Wei Lee, Jin-Tsong Jeng, and Guan-Yi Hu, Least Trimmed Squares Support Vector Machine Regression for Modeling of Mitogen-Activated Protein Kinase Systems, 2014 ICME International Conference on Complex Medical Engineering, Jun. 25-28, 2014, TWN中華民國(臺灣)
2014 Yu-Yang Ho, Jin-Tsong Jeng, and Chen-Chia Chuang, Combine Android System and Web Service Implement in Biology System Development, Proceedings of 2014 National Symposium on System Science and Engineering, Jun. 20-22, 2014, TWN中華民國(臺灣)
2014 Chen-Chia Chuang, Guan-Yi Hu, Jin-Tsong Jeng and Heng Wei Lee, LTS-SVM Learning Mechanism with Wavelet for Modeling of Nonlinear Systems with Noise and Outliers, IEEE International Conference on Control & Automation (ICCA 2014), Jun. 17-19, 2014, TWN中華民國(臺灣)
2013 Chen-Chia Chuang, Jin-Tsong Jeng and Heng Wei Lee, Robust LS-SVM Learning Mechanism for MAPK Systems Biology, 2013 International Conference on Fuzzy Theory and Its Application, Dec. 05-07, 2013, TWN中華民國(臺灣)
2013 Chen-Chia Chuang, Nai-Cheng Shih, Sheng-Chieh Chang and Jin-Tsong Jeng, Intelligent Computation on Symbolic Data Analysis: Clustering Technologies with IPFCM, CACS 2013 International Automatic Control Conference, Dec. 01-03, 2013, TWN中華民國(臺灣)
2013 Chen-Chia Chuang, Jin-Tsong Jeng* and Guan-Yi Hu, LTS-SVMR for Modeling of Nonlinear Systems with Noise and Outliers, The 14th International Symposium on Advanced Intelligent Systems, Nov. 12-15, 2013, KOR大韓民國(南韓)
2013 Chih-Ching Hsiao, Chen-Chia Chuang, Jin-Tsong Jeng and Shun-Feng Su, A Weighted Fuzzy Rough Sets based Approach for Rule Extraction, International conference on Instrumentation, Control, Information Technology and System Integration, Sep. 13-16, 2013, JPN日本
2013 Chen-Chia Chuang, Chin-Wang Tao, Wei-Yang Lin, Jin-Tsong Jeng and Ming-Cheng Yang, Robust Speed Estimation for the Video Car Recorder System, International conference on Instrumentation, Control, Information Technology and System Integration, Sep. 13-16, 2013, JPN日本
2013 Jin-Tsong Jeng*, Chen-Chia Chuang and Sheng-Chieh Chang, Interval Possibilistic Fuzzy C-Means Clustering Algorithm, International conference on Instrumentation, Control, Information Technology and System Integration, Sep. 13-16, 2013, JPN日本
2013 Shun-Feng Su, Jin-Tsong Jeng, Yue-Shiang Liu, Chen-Chia Chuang and I. J.Rudas, Robust radial basis function networks based on least trimmed squares-support vector regression, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, Jun. 23-27, 2013, CAN加拿大
2013 Nai-Cheng Shih, Chen-chia Chuang and Jin-Tsong Jeng, Granular based Interval Fuzzy Possibilistic C-Means Clustering Algorithm, 2013 National Symposium on Systems Science and Engineering, Jun. 07-08, 2013, TWN中華民國(臺灣)
2013 Chen-Chia Chuang, Ming-Cheng Yang, Jin-Tsong Jeng, and Dong-Han Lin, Video Car Recorder in iPhone, The 17th IEEE International Symposium on Consumer Electronics (ISCE 2013), Jun. 02-06, 2013, TWN中華民國(臺灣)
2013 Chen-Chia Chuang, Jin-Tsong Jeng*, Dong-Han Lin, and Wei-Yang Lin, The Voice Communication Swit ch with Peak Power Analysis on Smart Phone Systems, The 17th IEEE International Symposium on Consumer Electronics (ISCE 2013), Jun. 02-05, 2013, TWN中華民國(臺灣)
2012 C.C. Chuang, Sheng-Chieh Chang and Jin-Tsong Jeng, Interval Fuzzy Possibilistic C-Means Clustering Algorithm with the Hausdorff Distance Measure, 2012 CACS International Automatic Control Conference, 2012, TWN中華民國(臺灣)
2012 Yu-Chih Liao, C.C. Chuang, Ming-Cheng Yang and Jin-Tsong Jeng, Systematic Design for the Bluetooth Touch Panel with Application in Intelligent Google Android Phone, 2012 CACS International Automatic Control Conference, Nov. 29-Dec. 01, 2012, TWN中華民國(臺灣)
2012 Sheng-Chieh Chang, Jin-Tsong Jeng, Interval Fuzzy Possibilistic C-Means Clustering Algorithm, 2012 International Conference on Fuzzy Theory and Its Application, Nov. 15-17, 2012, TWN中華民國(臺灣)
2012 Dong-Han Lin, Chen-Chia Chuang, Jin-Tsong Jeng and Wei-Yang Lin, Interactive Location Database of Intelligent Video Car Recorder, 2012 International Conference on Fuzzy Theory and Its Application, Nov. 15-17, 2012, TWN中華民國(臺灣)
2012 [57] Jin-Tsong Jeng, Chen-Chia Chuang, Ping-Lun Liao and Jeng-Lang Wu, Mobile wavelet support vector machine tool systems with C#, 2012 International Conference on Advanced Mechatronic Systems (ICAMechS), Sep. 17-21, 2012, JPN日本
2012 Chih-Ching Hsiao, Chen-Chia Chuang and Jin-Tsong Jeng, Robust back propagation learning algorithm based on near sets, 2012 International Conference on System Science and Engineering (ICSSE), Jun. 29-Jul. 01, 2012, CHN大陸地區(大陸)
2012 [58] Dong-Han Lin, Chen-Chia Chuang, Jin-Tsong Jeng and Chin-Wang Tao, Intelligent Video Car Recorder systems, 2012 International Conference on System Science and Engineering (ICSSE), Jun. 29-Jul. 01, 2012, CHN大陸地區(大陸)
2012 Ping-Lun Liao, Chen-Chia Chuang and Jin-Tsong Jeng, Wavelet SVM for Face Recognition, 2012 National Symposium on System Science and Engineering, Jun. 15-16, 2012, TWN中華民國(臺灣)
2011 LTS-SVMR for Modeling of Chaotic Time Series Systems with Noise and Outliers, 2011中華民國第十九屆模糊理論及其應用研討會, Nov. 17-18, 2011, TWN中華民國(臺灣)
2011 LTS-SVMR for Modeling of Chaotic Time Series Systems with Noise and Outliers, 2011中華民國第十九屆模糊理論及其應用研討會, Nov. 17-18, 2011
2011 You-Min Jau , Jin-Tsong Jeng , Support Vector Regression Based LTS-CPBUM Neural Networks, SICE Annual Conference, Sep. 12-17, 2011, JPN日本
2011 Modeling of fuzzy integral based nonlinear multi-regressions systems with QPSO-GS, 2011 IEEE International Conference on Fuzzy Systems, Jun. 26-29, 2011, TWN中華民國(臺灣)
2011 Constructing the linear regression models for the symbolic interval-values data using PSO algorithm, 2011 International Conference on System Science and Engineering, Jun. 07-09, 2011, MAC澳門
2011 Systematic design for the global positional systems with application in intelligent Google Android phone, 2011 International Conference on System Science and Engineering, Jun. 07-09, 2011, MAC澳門
2011 Least trimmed squares based CPBUM neural networks, 2011 International Conference on System Science and Engineering, Jun. 07-09, 2011, MAC澳門
2010 Robust Interval Support vector Regression network for Interval modeling with outliers, 2010 The 18th National Conference on Fuzzy Theory and Its Applications, Dec. 04-05, 2010
2010 Zigbee for Application of Smart Home Systems, International Conference on Safety & Security Management and Engineering Technology, Nov. 24-25, 2010
2010 Integrated PDA and PC for Implement of Bluetooth Scatternet and Its application, International Conference on Safety & Security Management and Engineering Technology, Nov. 24-25, 2010
2010 Software development of Genomic Signal Processing, International Conference on Safety & Security Management and Engineering Technology, Nov. 24-25, 2010
2010 Hybrid robust LS-SVMR with outliers for MIMO system, 2010 IEEE International Conference on System, Man, Cybernetics, Oct. 02-07, 2010
2010 Hybrid SVM-GPs Learning for Modeling of Mitogen-Activated Protein Kinases Systems with Noise, 2010 IEEE International Conference on System, Man, Cybernetics, Oct. 02-07, 2010
2010 On learning analysis of neural fuzzy systems, 2010 IEEE International Conference on Fuzzy Systems, Jul. 21-25, 2010
2010 Box-Cox transformation-based annealing robust radial basis function networks for skewness noises, 2010 International Conference on System Science and Engineering, Jun. 04-05, 2010
2009 Hybrid SVM-GPs regression for modeling of chaotic time-series system with noise and outliers, 2009 The 17th National Conference on Fuzzy Theory and Its Applications, Dec. 17-18, 2009
2009 Charge Trapping and Current-Conduction Mechanisms of HfwLaxOyNz-Gated Metal-Oxide-Semiconductor Capacitors with Various Nitrogen Concentration Profiles, International Thin Films Conference (TACT), Dec. 13-15, 2009
2009 Improved Photovoltaic Characterizations of Silicon Solar Cells using Stressed Silicon Nitride Films Prepared by Plasma-Enhanced Chemical Vapour Deposition at Various Parameters, International Thin Films Conference (TACT), A069, Dec. 13-15, 2009
2009 Network based Intelligent Information-Integrated Systems for Smart Home, 2009 CACS International Automatic Control Conference, Nov. 26-28, 2009
2009 The Prediction and Investitive Decision Software of Stock Price with Support Vector Machine and Fuzzy Theory, National Computer Symposium, Nov. 26-27, 2009
2009 The predication and software Development of exchange rate for new Taiwan dollor to united states dollar with statistical learning theory, The 20th Workshop on Object-Oriented Technology and Applications, Nov. 19, 2009
2009 Software system Development for ZigBee information integration and control, The 20th Workshop on Object-Oriented Technology and Applications, Nov. 19, 2009
2009 Electrical Characteristics and Defects of HfLaTaON-Gated Metal-Oxide-Semiconductor Capacitors with Various Tantalum Concentrations, International Electron Devices and Materials Symposium (IEDMS), Nov. 18-19, 2009
2009 Intelligent Bluetooth Integrated information and Control Systems, Information Education and Technological Applications Conference, Nov. 05, 2009
2009 Robust clustering algorithm for the symbolic interval-values data with outliers, IEEE International Conference on Fuzzy Systems, Aug. 19-23, 2009
2009 Hybrid SVM-GPs Learning for Modeling of Molecular Autoregulatory Feedback Loop Systems with Outliers, IEEE International Conference on Fuzzy Systems, Aug. 19-23, 2009, KOR大韓民國(南韓)
2009 Web Services Based Disease Genes Searcher and Pathway Systems, 2009 National Symposium on System Science and Engineering, Jun. 25, 2009
2009 Forecasting of stock and development of software with support vector regression, 2009 International Conference on Advanced Information Technologies, May. 25-28, 2009
2009 Fabrication and Photovoltaic Characterizations of Crisscrossed Silicon Nanorods Solar Cells, The Symposium on Nano Device Technology (SNDT), Apr. 28-29, 2009
2009 Memory Effects of TiOxNy Nanoparticles Embedded in HfOxNy as Charge Trapping Nodes of Nonvolatile Memory Device, The Symposium on Nano Device Technology (SNDT), Apr. 28-29, 2009
2009 Electrical and Reliability Characteristics of Advanced MOS Devices with TixTay Dual-doped HfOx/SiO2 Stacked Dielectrics, The Symposium on Nano Device Technology (SNDT), Apr. 28-29, 2009
2008 Classification and prediction of Tp53 breast cancer microarray data with Support vector machine, 2008 International Conference on Digital Content, Dec. 25, 2008
2008 Hybrid SVM-GPs regression for modeling of chaotic time-series system with noise, 2008 The 16th National Conference on Fuzzy Theory and Its Applications, Dec. 19, 2008
2008 Characterization of TiOxNy nanoparticles embedded in HfOxNy as charge trapping nodes in nonvolatile memory devices, International Electron Devices and Materials Symposium (IEDMS), Nov. 27-28, 2008
2008 Effects of Silicon Nanorods (SNRs) Growth Time and Intrinsic Polycrystalline-Silicon Thickness on Photovoltaic Characterizations of SNRs Solar Cells, International Electron Devices and Materials Symposium (IEDMS), Nov. 27-28, 2008
2008 Composition Effects of Titanium and Tantalum Dual-Doped HfSiON Stacked Dielectric on Characteristics of Advanced Metal-Oxide-Semiconductor Devices, International Electron Devices and Materials Symposium (IEDMS), Nov. 27-28, 2008
2008 Intelligent Information-Integrated Systems for Smart Home, 2008 CACS International Automatic Control Conference, Nov. 20-22, 2008
2008 Fabrication and photovoltaic characterizations of silicon nanorod solar cells, 21th International Microprocesses and Nanotechnology Conference (MNC 2008), Oct. 26-29, 2008
2008 Support vector machine for the classification of breast cancer microarray data, International Conference on Safety & Security Management and Engineering Technology 2008, Oct. 24, 2008
2008 Development of Visualize and analysis software for bioinformatics with matlab, The 19th Workshop on Object-Oriented Technology and Applications, Sep. 25, 2008
2008 Annealing robust neural fuzzy networks for modeling of mitogen-activated protein kinases systems with outliers, SICE Annual Conference, Aug. 19-24, 2008, JPN日本
2008 Fuzzy c-means clustering algorithm with unknown number of clusters for symbolic interval data, SICE Annual Conference, Aug. 19-24, 2008
2008 Web Service Technology for Retrieve Disease Genes Systems, 2008 National Symposium on System Science and Engineering, Jun. 05-06, 2008
2008 Robust least squares-support vector machines for regression with outliers, IEEE International Conference on Fuzzy Systems, May. 31-Jun. 04, 2008
2008 Hybrid support vector machines learning for fuzzy neural networks with outliers, IEEE International Conference on Fuzzy Systems, May. 31-Jun. 04, 2008, HKG香港
2008 Anti-Reflective Characterization of Black Hybrid Silicon Nano-Materials (HSNMs) by Vapor-Liquid-Solid Technique, The 4th Asian Conference on Crystal Growth and Crystal Technology (CGCT4), May. 20-23, 2008
2008 Characterizations of Various Hybrid Metal-Oxide-Nanoparticles Embedded in HfOxNy as Charge Trapping Nodes in Nonvolatile Memory Devices, The Symposium on Nano Device Technology (SNDT), May. 14-15, 2008
2008 Characterization of Black Hybrid Silicon Nano-Materials as Light Trapping Textures for Solar Cells Applications, The Symposium on Nano Device Technology (SNDT), May. 14-15, 2008
2007 Annealing Robust Fuzzy Neural Networks for Modeling of Mitogen-Activated ProteinKinases Systems, 2007 The 15th National Conference on Fuzzy Theory and Its Applications, Nov. 30, 2007
2007 Integration of CMAC-GBF and Support Vector Regression Techniques, 2007 IEEE International Conference on Fuzzy Systems, Nov. 06-09, 2007
2007 Annealing Robust Fuzzy Basis Function for Modeling of Molecular Autoregulatory Feedback Loop Systems with Outliers, 2007 IEEE International Conference on Fuzzy Systems, Nov. 06-09, 2007
2007 Annealing Robust Fuzzy Neural Networks for Modeling of Molecular Biology Systems, 2007 IEEE International Conference on System, Nov. 06-09, 2007
2007 Fuzzy Weighted Support Vector Regression Networks for Outliers Detection of Microarray Data, Proceedings of 2007 CACS Automatic Control Conference, Oct. 31, 2007
2007 Prediction of Ovarian Cancer Using Microarray Data based on Intelligent Systems, Proceedings of 2007 CACS Automatic Control Conference, Oct. 31, 2007
2007 Retrieve Disease Genes from NCBI via Web Service, 2007 National Symposium on System Science and Engineering, Jun. 20-21, 2007
2006 Integration of CMAC and Support Vector Regression Techniques, The 14th National Conference on Fuzzy Theory and Its Applications, Dec. 13-14, 2006
2006 Intelligent Systems in ovarian Cancer Microarray Data for Molecular Evolution and Control, The 14th National Conference on Fuzzy Theory and Its Applications, Dec. 13-14, 2006
2006 Computational Intelligence Approaches on Dynamic Functional Clustering Algorithm, Clusters of Interval Regression Analysis and Distance-Based Outliers Detection of Microarray Data for Ovarian Cancer, 2006 CACS Automatic Control Conference, Nov. 09-10, 2006
2006 CPBUM Neural Networks for Modeling of Molecular Autoregulatory Feedback Loop Systems, 2006 CACS Automatic Control Conference, Nov. 09-10, 2006
2006 Classification and Prediction of Ovarian Cancer Using Microarray Data based on Intelligent Systems, 2006 CACS Automatic Control Conference, Nov. 09-10, 2006
2006 Support Vector Regression for Controller Approximation, 2006 IEEE International Conference on Fuzzy Systems, Jul. 15-20, 2006
2006 Discretizing Continuous-Time Controllers via Annealing Robust Walsh Function Networks, 2006 IEEE International Conference on Fuzzy Systems, Jul. 15-20, 2006
2005 A Study on the Support Vector Regression with Interval Input, roceedings of 2005 CACS Automatic Control Conference, Nov. 17-18, 2005
2005 Dimension Reduction with Support Vector Regression for Ovarian Cancer Microarray Data, 2005 IEEE International Conference on System, Oct. 08-12, 2005
2005 Classification of Ovarian Cancer based on Intelligent Systems with Microarray Data, 2005 IEEE International Conference on System, Oct. 08-12, 2005
2005 Discretizing Continuous-Time Controllers via Robust Neural Fuzzy Networks, 2005 The 13th National Conference on Fuzzy Theory and Its Applications, Sep. 29-30, 2005
2005 Annealing Robust Walsh Function Networks for Modeling with Outliers and Digital Implementation, 2005 IEEE International Symposium on Circuit and System, Apr. 30-May. 05, 2005
2004 Robust adaptive tracking control via cpbum neural network for mimo nonlinear systems, The IEEE International Conference on Machine Learning and Cybernetics, Nov. 30, 2004
2004 Annealing Robust Radial Basis Function Networks for Fuzzy Systems Implementation, 2004 Twelfth National Conference on Fuzzy Theory and Its Applications, Oct. 31, 2004
2004 Adaptive Hybrid Compensation Control for TSK Fuzzy Control Systems, 2004 Twelfth National Conference on Fuzzy Theory and Its Applications, Sep. 30, 2004
2004 A Soft Computing Technique for Noise Data with Outliers, The 2004 IEEE International Conference on Networking, Sensing and Control, Aug. 31, 2004
2004 Support Vector Regression with Adaptive Kernel Functions, 2004 Automatic Control Conference, Jul. 31, 2004
2003 A New Annealing Robust Fuzzy Basis Function for Modeling with Outliers, 2003 IEEE International Conference on Systems, Man & Cybernetics, Nov. 30, 2003
2003 Annealing Robust Nonlinear Adaptive Inverse Control with FNNBSVR for Magnetic Bearing Systems, The 5th IEEE International Symposium on Computational Intelligence in Robotics and Automation, Sep. 30, 2003
2003 A novel approach for TSK fuzzy modeling with outliers, International Conference on Machine Learning and Cybernetics, Aug. 31, 2003, TWN中華民國(臺灣)
2003 Robust Fuzzy Regression clustering algorithm for TSK fuzzy modeling with outliers, 2003 The Joint Conferencn on AI, Fuzzy System, and Gray System, Aug. 23, 2003, TWN中華民國(臺灣)
2003 Annealing robust CPBUM neural networks for modeling with noise and outliers, 2003 Automatic Control Conference, Jul. 31-Aug. 01, 2003, TWN中華民國(臺灣)
2002 Stability Analysis of Discretizing Continuous-Time Controllers via Fuzzy Neural Networks, 2002 Tenth National Conference on Fuzzy Theory and Its Applications, Nov. 30, 2002, TWN中華民國(臺灣)
2002 Support Vector Regression for Image Compression, The Seventh Conference on Artificial Intelligence and Applications, Oct. 31, 2002, TWN中華民國(臺灣)
2002 A Novel Approach for the Hyperparameters of Support Vector Regression, 2002 IEEE International Joint Conference on Neural Networks, Sep. 30, 2002, TWN中華民國(臺灣)
2002 Support Vector Regression for Fuzzy and Neural Network, 2002 ICONIP, Sep. 13, 2002, TWN中華民國(臺灣)
2002 Constructing an Influence Function of Robust Learning Algorithm Based on Error Distributions for the Neural Networks, 2002 IEEE International Joint Conference on Neural Networks, Aug. 31, 2002, TWN中華民國(臺灣)
2002 Annealing Nonlinear Adaptive Inverse Neural Network Control for Magnetic Bearing Systems, 2002 Automatic Control Conference, Aug. 01-02, 2002, TWN中華民國(臺灣)
2002 Robust Neuro-Fuzzy Networks with Outliers Based on Support Vector Regression, 2002 Automatic Control Conference, Jul. 31, 2002, TWN中華民國(臺灣)
Project Category Year Project Title Job Title Period
政府學術研究計畫-科技部專題研究計畫 2026 智慧型計算及可解釋型AI運用於AI資料集之評估與萃取研究-子計畫二:智慧型系統之計算智慧符號分群方法的開發與在AI資料集之改善的研究(III) 主持人 2026.07 ~ 2027.07
企業產學計畫(含公營及私人企業) 2026 ACS-網印式耐酸鹼膠用即時黏度值物聯網監控系統開發 主持人 2026.02 ~ 2026.08
政府學術研究計畫-科技部專題研究計畫 2025 114年度【智慧型計算及可解釋型AI運用於AI資料集之評估與萃取研究-子計畫二:智慧型系統之計算智慧符號分群方法的開發與在AI資料集之改善的研究(II)】 主持人 2025.07 ~ 2026.07
政府學術研究計畫-科技部專題研究計畫 2024 113年度【智慧型計算及可解釋型AI運用於AI資料集之評估與萃取研究-子計畫二:智慧型系統之計算智慧符號分群方法的開發與在AI資料集之改善的研究】 主持人 2024.07 ~ 2025.07
政府學術研究計畫-科技部專題研究計畫 2023 深度學習和深度強化直覺模糊邏輯學習多代理人系統方法開發的安全學習穩定性分析與快速 程式實現之研究 主持人 2023.07 ~ 2024.07
政府學術研究計畫-科技部專題研究計畫 2022 科技部111年度【整合深度/寬度學習系統之新的可解釋性的AI學習架構與在影像理解及強健建模的應用之研究】 主持人 2022.07 ~ 2023.07
政府學術研究計畫-科技部專題研究計畫 2021 科技部110年度【基於藍芽信標及影像的智慧監控及資料分析-子計畫二:開發回饋深度學習方法在信標文字資料的語意知識本體分析之研究(III)】 主持人 2021.07 ~ 2022.07
政府其他案件 2021 110年度教育部補助辦理「智慧晶片應用與聯網技術課程推廣計畫」 共同(協同)主持人 2021.07 ~ 2022.06
政府產學計畫 2020 科技部109年度 【 產學合作計畫-人工智慧在漁電共生的水下影像之技術開發 】(個別) 主持人 2020.10 ~ 2021.10
政府其他案件 2020 109年度教育部補助辦理「智慧聯網技術課程推廣計畫」-深度學習 共同(協同)主持人 2020.07 ~ 2021.06
政府其他案件 2020 109年度教育部補助辦理「智慧聯網技術課程推廣計畫」-人工智慧 共同(協同)主持人 2020.07 ~ 2021.06
政府學術研究計畫-科技部專題研究計畫 2020 科技部109年度 【 基於藍芽信標及影像的智慧監控及資料分析-子計畫二:開發回饋深度學習方法在信標文字資料的語意知識本體分析之研究 】 主持人 2020.07 ~ 2021.07
政府學術研究計畫-科技部專題研究計畫 2019 科技部108年度 【 基於藍芽信標及影像的智慧監控及資料分析-子計畫二:開發回饋深度學習方法在信標文字資料的語意知識本體分析之研究 】 主持人 2019.07 ~ 2020.07
政府學術研究計畫-科技部專題研究計畫 2018 科技部107年度 【 工業4.0 CPS之IoT資料非可加融合方法與決策分析平台之研究 】 主持人 2018.07 ~ 2019.07
政府其他案件 2017 第22屆TDK盃全國大專校院創思設計與製作競賽 主持人 2017.12 ~ 2019.02
其他單位產學計畫 2017 第22屆TDK盃全國大專校院創思設計與製作競賽 主持人 2017.12 ~ 2019.02
政府學術研究計畫-科技部專題研究計畫 2017 科技部104年度【計算型智慧及符號型資料處理於天氣資料處理及預測的應用-子計畫二:直方圖/分佈值的變數智慧型符號資料分析在天氣預測之研究】(3年期)(整合型)學門名稱:智慧型控制) 主持人 2017.07 ~ 2018.07
其他單位產學計畫 2016 第21屆TDK盃全國大專校院創思設計與製作競賽 主持人 2016.12 ~ 2018.02
政府其他案件 2016 106年度補助辦理「第21屆TDK盃全國大專院校創思設計與製作競賽」 主持人 2016.12 ~ 2018.02
政府學術研究計畫-科技部專題研究計畫 2016 科技部104年度 【 計算型智慧及符號型資料處理於天氣資料處理及預測的應用-子計畫二:直方圖/分佈值的變數智慧型符號資料分析在天氣預測之研究 】(3年期)(整合型)學門名稱:智慧型控制) 主持人 2016.07 ~ 2018.07
政府學術研究計畫-國科會專題研究計畫 2015 科技部104年度 【 計算型智慧及符號型資料處理於天氣資料處理及預測的應用-子計畫二:直方圖/分佈值的變數智慧型符號資料分析在天氣預測之研究 】(3年期)(整合型)學門名稱:智慧型控制)(第一年) 主持人 2015.07 ~ 2016.07
政府學術研究計畫-國科會專題研究計畫 2015 科技部103年度 【 新的強健非對稱最小截尾平方支持向量機在含有非對稱雜訊與離異點系統生物學的建模與控制之研究 】2年期(多年期)(學門名稱:智慧型控制)(第二年) 主持人 2015.07 ~ 2016.07
政府其他案件 2015 經濟部104年度科技專案合作研究計畫「產學研旗艦團隊組建評估計畫」 共同(協同)主持人 2015.07 ~ 2015.12
政府學術研究計畫-國科會專題研究計畫 2014 國科會101年度 【 智慧型計算於符號區間資料分析-子計畫一:分群技術分析 】3年期(多年期)(整合型計畫)(第三年) 主持人 2014.07 ~ 2015.07
政府學術研究計畫-國科會專題研究計畫 2014 科技部103年度 【 新的強健非對稱最小截尾平方支持向量機在含有非對稱雜訊與離異點系統生物學的建模與控制之研究 】(第一年)2年期(多年期)(學門名稱:智慧型控制) 主持人 2014.07 ~ 2015.07
政府學術研究計畫-國科會專題研究計畫 2013 國科會101年度 【 強健最小平方支持向量機之學習機制研究與在系統生物學之應用 】(第二年) 主持人 2013.07 ~ 2014.07
政府學術研究計畫-國科會專題研究計畫 2013 國科會101年度 【 智慧型計算於符號區間資料分析-子計畫一:分群技術分析 】(第二年)(整合型計畫) 主持人 2013.07 ~ 2015.07
政府學術研究計畫-國科會專題研究計畫 2012 國科會101年度 【 智慧型計算於符號區間資料分析-子計畫一:分群技術分析 】3年期 主持人 2012.07 ~ 2015.07
政府學術研究計畫-國科會專題研究計畫 2012 國科會101年度 【 強健最小平方支持向量機之學習機制研究與在系統生物學之應用 】2年期 主持人 2012.07 ~ 2014.07
政府其他案件 2011 中華民國第十九屆模糊理論及其應用研討會 主持人 2011.11 ~ 2011.11
政府學術研究計畫-國科會專題研究計畫 2011 邀請The University of Electro-Communications, Japan KAZUO TANAKA教授來台訪問 主持人 2011.11 ~ 2011.11
政府學術研究計畫-國科會專題研究計畫 2011 混合最小截尾平方/高斯程序迴歸在分子生物系統包含雜訊及離異點時之建模 主持人 2011.07 ~ 2012.07
政府其他案件 2011 100-100年度中區技職校院區域教學資源中心計畫-主軸三-工程電機資訊類(9/7登錄) 主持人 2011.06 ~ 2012.12
政府其他案件 2011 100年度教育部網路通訊人才培育先導型計畫-資通安全學程計畫 主持人 2011.01 ~ 2012.01
校內補助案 2010 整合智慧型技術之情感處理與初始環境即時資訊提供在智慧型機器人進入社會環境下的人機互動介面和軟體開發 主持人 2010.07 ~ 2011.07
政府學術研究計畫-國科會專題研究計畫 2010 軟式計算學習方法在模型化非線性動態系統包含離異點之研究與應用 主持人 2010.07 ~ 2011.07
政府其他案件 2010 100年度教育部網路通訊人才培育先導型計畫-資通安全學程計畫 主持人 2010.01 ~ 2011.01
政府其他案件 2009 教育部98年度資通安全學程計畫 主持人 2009.08 ~ 2010.01
政府學術研究計畫-國科會專題研究計畫 2009 智慧型家庭的開發-子計畫三:智慧型家庭中智慧型信息整合系統 主持人 2009.07 ~ 2010.07
政府其他案件 2009 98年教育部前瞻晶片系統設計(SoC)學程計畫-A類學程:嵌入式系統軟體學程 主持人 2009.02 ~ 2010.01
政府其他案件 2009 98年教育部前瞻晶片系統設計(SoC)學程計畫-A類專題:嵌入式車載通訊電子網路系統設計 主持人 2009.02 ~ 2010.01
政府其他案件 2008 資通安全學程 主持人 2008.08 ~ 2009.08
政府其他案件 2008 97年度獎勵大學教學卓越計畫-精進整體教學成效、強化光機電領域特色 共同(協同)主持人 2008.07 ~ 2009.07
政府學術研究計畫-國科會專題研究計畫 2008 智慧型家庭的開發-子計畫三:智慧型家庭中智慧型信息整合系統 主持人 2008.07 ~ 2009.07
政府其他案件 2008 97年度技專校院發展學校重點特色專案計畫-光機電科技於優質生活應用之教學與研究計畫 共同(協同)主持人 2008.04 ~ 2008.12
政府其他案件 2008 97年度前瞻晶片系統設計(SOC)學程計畫--嵌入式系統軟體 主持人 2008.02 ~ 2009.02
教育部其他案件(不含計畫型獎助案、委訓計畫及產學計畫案) 2007 96年度資通安全學程推廣計畫 主持人 2007.08 ~ 2008.08
政府學術研究計畫-國科會專題研究計畫 2007 智慧型家庭的開發-子計畫三:智慧型家庭中智慧型信息整合系統 主持人 2007.07 ~ 2010.07
國科會專題計畫 2007 智慧型家庭的開發-子計畫三:智慧型家庭中智慧型信息整合系統 主持人 2007.07 ~ 2010.07
教育部案件(不含計畫型獎助案) 2006 教育部資通安全學程推廣計畫 主持人 2006.11 ~ 2006.12
國科會案件 2006 智慧型系統在卵巢癌晶片之分子演化與控制-總計畫:智慧型系統在卵巢癌晶片之分子演化與控制(III) 主持人 2006.07 ~ 2007.07
國科會案件 2006 智慧型系統在卵巢癌晶片之分子演化與控制-子計畫二:基於智慧型系統使用生物晶片資料在卵巢癌的分類與預測(III) 主持人 2006.07 ~ 2007.07
國科會案件 2005 智慧型系統在卵巢癌晶片之分子演化與控制─子計畫二:基於智慧型系統使用生物晶片資料在卵巢癌的分類與預測(II) 主持人 2005.07 ~ 2006.07
國科會案件 2004 基於智慧型系統使用生物晶片資料在卵巢癌的分類與預測(Ⅰ) 主持人 2004.07 ~ 2005.07
國科會案件 2003 基於SVR之新的軟式計算技術在含有Noise與Outliers的非線性系統的智慧型控制之研究 主持人 2003.07 ~ 2004.07
國科會案件 2002 基於SVR之退火強健式糢糊神經網路在非線性系統含有Outiers的適應逆向控制之研究 主持人 2002.07 ~ 2003.07
Publish Date Patent Title Patent Number Patent Country Authors
2018/11/20 門禁管理系統 I642032 國內 林華川、郭閔翔、王駿維、陳世諭、鄭錦聰
Year Paper Title
2024 CHENG, CHIH-CHENG, Interval Type-2 Fuzzy Logic for Taiwanese Hokkien Text-to-Speech and Taiwanese Hokkien Language Tool Development, 2024
2024 FAN, HSIANG-YU, Study on the Migration and Integration Mechanism of Python-Based Deep Learning Models on the MATLAB, 2024
2024 WU, YAN-SHENG, Study on the Construction and Improvement of Graph Convolutional Networks based Chinese Lexical Semantic Knowledge Graph, 2024
2024 CHEN, JYUN-YAN, Study on Text-Independent Speaker Verification and Speech Separation with Improved Light-Weighting Convolutional Neural Networks Model, 2024
2023 Study on Corpus and Knowledge-Base Integrating Traditional and Improved BERT for Chinese Word2Set, 2023
2023 Study on Explainable TCN Approaches and Their Applications on Time Series Prediction and BLS, 2023
2023 Study on Building the Big Data Analytics Platform and to Integrate the Symbol Affinity Propagation Clustering for Water Quality Monitoring Data Analysis, 2023
2023 Study on Adaptive Neural Fuzzy Learning Systems under Intuitionistic Fuzzy Logic with β-Dropout, 2023
2023 Symbolic Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Clustering Algorithm, 2023
2022 Study on the Improvement of Broad Learning System and Fuzzy Broad Learning System and Its Application on Disease Status Prediction for Underwater White Shrimp Aquaculture, 2022
2021 Development of Chinese Word2Set based on the Improvement of Corpus and Knowledge-Base, 2021
2021 Study on Interpretable and Improved Lightweight Deep Learning Model and Their Application on Underwater Aquaculture Image and Video, 2021
2020 Inferencing Adversarial Features and Implementation of Various Computer-Vision Applications Using Improved CNN Models, 2020
2019 Study on Hardware Test for the Tools of Natural Language Processing and Applications, 2019
2019 The Development of Chinese Word2Set and Its Applications on Similarity of Words and Short Text, 2019
2019 Development of Residual Shortcut Connection based Deep Learning Bidirectional Associative Memory Neural Networks and Its Applications, 2019
2018 Markov Decision Process Based Akashic Record Learning Method and Its Application, 2018
2018 Study on K-meap Clustering and Wasserstein GAN for Distributional-valued Variable of IoT, 2018
Ping-Lun Liao, Support Vector Machine for Smart Home
Yan-Cheng Li, Improved AP Clustering and Its Application on Distributional-Valued Variable
Zheng-You Guo, Implementation of MLP based Nonlinear PCA and Its Applications
Zhi-Qian Wang, Study on Distributional-Valued Variable Analysis Using Machine Learning Approaches
Chung-Chong He, Improved Symbolic L1-Norm Principal Component Analysis for Interval-Valued and Distribution-Valued Data
Tsung-Bin Lin, Study on Intelligent Digital Neural Networks and Application on Modeling of Biological Systems
Guan-Yi Hu, Least Trimmed Square Support Vector Machine Regression and Its Applications
Si-Hao Du, Nonlinear Dimensionality Reduction Approaches for Classification and Prediction of Microarray Data
Heng-Wei Lee, Improved Least Trimmed Square Support Vector Machine Regression for Biological Systems Modeling and Its Application on Smart Phone
Yan-Lin Li, Charge Trapping Characteristics of Metal-Oxide-Semiconductor Structured Nonvolatile Memory Devices with Various Ti-Doped HfLaTiO Dielectrics and Post-Deposition Annealing
Nai-Cheng Shih, Study on Robust Granular Computing for Clustering and Regression and Implemented on Smart Phone Systems
Yu-Yang Ho, Asymmetric Fuzzy Neural Networks Development and Implement on Cloud Systems
Sheng-Lon Jheng, Hybrid Machine Learning and Its Applications
Jhih-Yuan Huang, Development of MLP based Deep Learning Associative Memory Neural Networks and Its Applications
Sheng-Chieh Chang, Rough Interval Possibilistic Fuzzy C-Means Clustering Algorithms and Implemented on Smart Phone
Chi-Ta Chuang, SVR Based LTS CPBUM Neural Network and Applications