|
Specialty:
Computational Intelligence and Statistical Learning , Computational Intelligence for Bioinformatics and Microarray, Computer Control System Design and Smart Home, Object-Oriented and Web Service Programming, Computational Biology, Microarray and Semiconductor Device,
Education:
Ph.D., Institute of Electrical Engineering, National Taiwan University of Science and Technology, July 1997
M. S., Institute of Electrical Engineering, National Taiwan University of Science and Technology, July 1993
Experiences:
Dean, College of Electrical and Computer Engineering, NFU (2010~now)
Professor, Department of Computer Science and Information Engineering, NFU (2005~now)
Chairman, Department of Computer Science and Information Engineering, NFU (2006~2009)
Associate Professor, Department of Computer Science and Information Engineering, NFU (2002~2005)
Reviewer of project, National Science Council, R.O.C. (2001~now)
Reviewer of patent, Intellectual Property Office, Ministry of Economic Affairs Office, R.O.C. (1999~2005)
Associate editor, International Journal of Intelligent Systems Science and Technology (IJISST) (2009~now)
Self-description:
Jin-Tsong Jeng was born in Taiwan, R.O.C., in 1967. He received the B.S.E.E., M.S.E.E. and Ph. D. degrees all in Electrical Engineering from the National Taiwan University of Science and Technology, Taipei, Taiwan, in 1991, 1993, and 1997, respectively. In 2006-2009, he was a Professor and Chairman of the Department of Computer Science and Information Engineering, (NFU), Huwei Jen, Taiwan, R.O.C. He is currently Dean of College of Electrical and Computer Engineering and Professor of Department of Computer Science and Information Engineering, National Formosa University, Huwei Jen, Yunlin, Taiwan. His primary research interests include computational intelligence and statistical learning, neural networks, fuzzy systems, intelligent control, smart home, bioinformatics, non-holonomic control systems, physics and technology of semiconductor devices and microarray. At the same time, he has published more than 135 refereed journal and conference papers in the above areas. Achievements include development of a new neural network model which is CPBUM that applies to control systems, robotic systems and microarray, design of a new support vector regression networks to do modeling problem with outliers, hybrid approach for computational intelligence, and analysis of semiconductor devices
Publication: (2002~2009)
A. Journal paper
[1] Chin-Lung Cheng, Jeng-Haur Horng, Jin-Tsong Jeng and Min-Sheng Chiu, “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, 2009. (SCI and EI) (Accepted)
[2] Jin-Tsong Jeng, Chen-Chia Chuang and C. W. Tao, “Hybrid SVMR-GPR for Modeling of Chaotic Time Series Systems with Noise and Outliers,” Neurocomputing, 2009. (SCI and EI) (Accepted)
[3] Yu-Yi Fu, Chia-Ju Wu, Jin-Tsong Jeng and Chia-Nan Ko, “ARFNNs with SVR for prediction of chaotic time series with outliers,” Expert Systems with Applications, 2009. (SCI and EI) (Accepted)
[4] Yu-Yi Fu, Chia-Ju Wu, Jin-Tsong Jeng and Chia-Nan Ko, “Annealing robust radial basis function networks with support vector regression for nonlinear inverse system identification with outliers,” Journal of Vibration and Control, 2009. (SCI and EI) (Accepted)
[5] Jung-Yen Yang, Chien-Wei Liu, Chin-Lung Cheng, Jin-Tsong Jeng, Bau-Tong Dai, Jian-Shian Lin, and Kun-Cheng Chen, “Photovoltaic characterizations of crisscrossed silicon nanorods solar cells,” IEEE Electron Device Letters, Vol. 30, Issue 12, pp. 1299 – 1301, 2009. (SCI and EI)
[6] Yu-Yi Fu, Chia-Ju Wu, Chia-Nan Ko, Jin-Tsong Jeng and Li-Chun Lai “ARRBFNs with SVR for Prediction of Chaotic Series with Outliers,” Artif Life Robotics, Vol. 14, pp. 29-33, 2009. (EI)
[7] Pi-Yun Chen, Chia-Ju Wu, Chia-Nan Ko, and Jin-Tsong Jeng “A fast identification algorithm with outliers under Box–Cox transformation-based annealing robust radial basis function networks,” Artif Life Robotics, Vol. 14, pp. 62-66, 2009. (EI)
[8] Chin-Lung Cheng, Chien-Wei Liu, Jin-Tsong Jeng, Bau-Tong Dai, and Yen-His Lee, “Fabrication and characterizations of black hybrid silicon nano-materials as light trapping textures for silicon solar cells” Journal of the Electrochemical Society, Vol. 156, Issue 5, pp. H356-H360, 2009. (SCI and EI)
[9] Chien-Wei Liu, Chin-Lung Cheng, Kuei-Shu Chang-Liao, Jin-Tsong Jeng, Bau-Tong Dai, Chen-Pang Tsai, “Characterization of TiOxNy nanoparticles embedded in HfOxNy as charge trapping nodes for nonvolatile memory device applications,“ Microelectronic Engineering, vol. 86. Issue 7-9, pp. 1692-1695, 2009. (SCI and EI)
[10] Yu-Yi Fu, Chia-Ju Wu, Jin-Tsong Jeng and Chia-Nan Ko “Identification of MIMO systems using radial basis function networks with hybrid learning algorithm,” Applied Mathematics and Computation, Vol. 213, pp. 184-196, 2009. (SCI and EI)
[11] Chen-Chia Chuang, Jin-Tsong Jeng, and C. W. Tao, "Two-Stages Support Vector Regression for Fuzzy Neural Networks with Outliers," International Journal of Fuzzy Systems, Vol. 6, No. 1, pp. 20-28, 2009. (SCI Expanded and EI)
[12] C.C. Chuang, J.T. Jeng, and C.W Tao, "Hybrid robust approach for TSK fuzzy modeling with outliers," Expert Systems with Applications, vol. 36. Issue 5, pp. 8925-8931, 2009. (SCI and EI)
[13] Jin-Tsong Jeng, Ping-Lun Liao and Chen-Chia Chuang, “Intelligent Information-Integrated Systems for Smart Home,” International Journal of Intelligent Systems Science and Technology, pp. 41-46, 2009.
[14] Horng-Lin Shieh, Ying-Kuei Yang, Po-Lun Chang and Jin-Tsong Jeng, "Robust Neural-Fuzzy Method for Function Approximation," Expert Systems with Applications, vol. 36. Issue 3, pp. 6903-6913, 2009. (SCI and EI)
[15] Chin-Lung Cheng, Chien-Wei Liu, Kuei-Shu Chang-Liao, Ping-Hung Tsai, Jin-Tsong Jeng, Sung-Wei Huang, and Bau-Tong Dai, "Characterization of CoxNiyO hybrid metal oxide nanoparticles as charge trapping nodes in nonvolatile memory devices," Solid State Electronics, vol. 52. no. 10, pp. 1530-1535, 2008. (SCI and EI)
[16] Chien-Wei Liu, Chin-Lung Cheng, Jin-Tsong Jeng, Bau-Tong Dai and Sung-Wei Huang, "Characterization of various alloying metal oxide nanoparticles embedded in HfOxNy as charge trapping nodes in nonvolatile memory devices," Microelectronic Engineering, vol. 85. no. 8, pp.1766- 1771, 2008. (SCI and EI)
[17] Chin-Lung Cheng, Chien-Wei Liu and Jin-Tsong Jeng, “Work function tuning of the TixTayN metal gate electrode for advanced metal-oxide-semiconductor devices applications,” Applied Physics Letters, Vol. 90, pp. 062114-1~3, 2007. (SCI and EI)
[18] Jin-Tsong Jeng and Chen Chia Chuang, “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, Vol. 14(S1), pp. 119-128, 2007. (SCI)
[19] Chien-Wei Liu, Chin-Lung Cheng, Sung-Wei Huang, Jin-Tsong Jeng, Shiuan-Hua Shiau and Bau-Tong Dai, “Bimetallic oxide nanoparticles CoxMoyO as charge trapping layer for nonvolatile memory devices applications,” Applied Physics Letters, Vol. 90, pp. 062114-1~3, 2007. (SCI and EI)
[20] Chen-Chia Chuang and Jin-Tsong Jeng, “CPBUM Neural Networks for Modeling with Outliers and Noise,” Applied Soft Computing, Vol. 7, No. 3, pp. 957-967, 2007. (SCI and EI)
[21] Jin-Tsong Jeng, “Hybrid Approach of Selecting Hyper-Parameters of Support Vector Machine for Regression,” IEEE Trans. on Systems, Man, and Cybernatics Part B:Cybernetics, Vol. 36, Number 3, pp. 699-709, 2006. (SCI and EI)
[22] Jin-Tsong Jeng, “Annealing Robust Fuzzy Basis Function for Modeling with Noise and Outliers,” International Journal of Computer Applications in Technology, Vol. 27, Nos. 2/3, pp. 166-172, 2006. (SCI Expanded and EI)
[23] Chen-Chia Chuang, Jin-Tsong Jeng and Tsu-Tian Lee, “Robust adaptive tracking control via cpbum neural network for mimo nonlinear systems,” International Journal of Electrical Engineering, Vol. 12, No. 4, pp. 313-324, 2005. (EI)
[24] Chen-Chia Chuang, Jin-Tsong Jeng and Pao-Tsun Lin, “Annealing Robust Radial Basis Function Networks for Function Approximation with Outliers,” Neurocomputing, Vol. 56, pp. 123-139, 2004. (SCI and EI)
[25] Chen-Chia Chuang, Jin-Tsong Jeng, and Yung-Cheng Lee, “Discretizing Continuous-Time Controllers with Fuzzy Logic Systems and Its Stability Analysis,” Asian Journal of Control, Vol. 6, No. 4, pp. 529-538, 2004. (SCI and EI)
[26] Jin-Tsong Jeng, and Chen-Chia Chuang, "Selection of Initial Structures with Support Vector Regression for Fuzzy Neural Networks," Internatioal Journal of Fuzzy Systems, Vol. 6, No. 2, pp. 63-70, 2004. (SCI Expanded and EI)
[27] Jin-Tsong Jeng, Chen-Chia Chuang, and Shun Feng Su, “Support Vector Interval Regression Networks for Interval regression analysis,” Fuzzy Set and Systems, Vol. 138, No. 2, pp. 283-300, 2003. (SCI and EI)
[28] Jin-Tsong Jeng, “Neural Gain Scheduling Chebyshev Polynomial Based Unified Model Network Controller for Linear Parameter-Varying System,” Internatioal Journal of Control and Intelligent Systems, Vol. 31, No. 3, pp. 125-132, 2003. (EI)
[29] Chen-Chia Chuang, Shun-Feng Su, Jin-Tsong Jeng, and Chih-Ching Hsiao “Robust Support Vector Regression Networks for Function Approximation with Outliers,” IEEE Trans. on Neural Networks, Vol. 13, No. 6, pp1322-1330, 2002. (SCI and EI)
B. Conference paper
[30] Jin-Tsong Jeng, Chen-Chia Chuang and Sheng-Lun Jheng, “Hybrid SVM-GPs Learning for Modeling of Molecular Autoregulatory Feedback Loop Systems with Outliers,” IEEE International Conference on Fuzzy Systems, pp. 1244-1249, 2009.
[31] Chen-Chia Chuang, Chin-Wang Tao, and Jin-Tsong Jeng, “Robust clustering algorithm for the symbolic interval-values data with outliers,” IEEE International Conference on Fuzzy Systems, pp. 1232-1237, 2009.
[32] Jin-Tsong Jeng, Chen-Chia Chuang, Chin-Wang Tao and Sheng-Lun Jheng, “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, 2009.
[33] Jin-Tsong Jeng, Ping-Lun Liao, Sheng-Chien Chang and Chen-Chia Chuang, “Network based Intelligent Information-Integrated Systems for Smart Home,” 2009 CACS International Automatic Control Conference, 2009.
[34] Wei-Cheng Lee and Jin-Tsong Jeng, “The Prediction and Investitive Decision Software of Stock Price with Support Vector Machine and Fuzzy Theory,” National Computer Symposium, Vol. 10, pp. 119-124, 2009.
[35] Chin-Lung Cheng, Jeng-Haur Horng, Jin-Tsong Jeng, and Hung-Yung Tsai, “Charge Trapping and Current-Conduction Mechanisms of HfwLaxOyNz-Gated Metal-Oxide-Semiconductor Capacitors with Various Nitrogen Concentration Profiles,” International Thin Films Conference (TACT), C133, Taiwan, Dec. 14-16, 2009
[36] Chin-Lung Cheng, Jeng-Haur Horng, Jin-Tsong Jeng, and Hung-Yung Tsai, “Electrical Characteristics and Defects of HfLaTaON-Gated Metal-Oxide-Semiconductor Capacitors with Various Tantalum Concentrations,” International Electron Devices and Materials Symposium (IEDMS), Paper ID 88, Taiwan, Nov. 19-20, 2009.
[37] Jian-Shian Lin, Chien-Wei Liu, Chin-Lung Cheng, Jin-Tsong Jeng, Bau-Tong Dai, Fuh-Shyang Juang, and Shih-Hao Lin, “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, Taiwan, Dec. 14-16, 2009.
[38] Yue-Shiang Liu, Ping-Lun Liao, Jin Tsong Jeng, and Shun-Feng Su, “Web Services Based Disease Genes Searcher and Pathway Systems,” 2009 National Symposium on System Science and Engineering, 2009.
[39] Sheng-Chien Chang, Ching-Huang Yang and Jin-Tsong Jeng, “Intelligent Bluetooth Integrated information and Control Systems,” Information Education and Technological Applications Conference, 2009.
[40] Wei-Cheng Lee, Jin-Tsong Jeng and Jia-Fong Lin, “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, 2009.
[41] S.H. Lai, Y.M. Chein and Jin-Tsong Jeng, “Software system Development for ZigBee information integration and control,” The 20th Workshop on Object-Oriented Technology and Applications, 2009.
[42] Chi-Han Yang, Chien-Wei Liu, Chin-Lung Cheng, Bau-Tong Dai, Jin-Tsong Jeng, and Kun-Cheng Chen, “Fabrication and Photovoltaic Characterizations of Crisscrossed Silicon Nanorods Solar Cells,” The Symposium on Nano Device Technology (SNDT), NP-05, Taiwan, April 29-30, 2009.
[43] Hung-Yang Tsai, Chien-Wei Liu, Chin-Lung Cheng, Jin-Tsong Jeng, Bau-Tong Dai, and Kun-Cheng Chen, “Memory Effects of TiOxNy Nanoparticles Embedded in HfOxNy as Charge Trapping Nodes of Nonvolatile Memory Device,” The Symposium on Nano Device Technology (SNDT), ND-19, Taiwan, April 29-30, 2009.
[44] Yu-Chen Wu, Chin-Lung Cheng, Jeng-Haur Horng, Jin-Tsong Jeng, and Min-Sheng Chiu, “Electrical and Reliability Characteristics of Advanced MOS Devices with TixTay Dual-doped HfOx/SiO2 Stacked Dielectrics,” The Symposium on Nano Device Technology (SNDT), ND-20, Taiwan, April 29-30, 2009.
[45] K.S. Ko, F.Z. Wu, W. C. Lee and Jin-Tsong Jeng, “Forecasting of stock and development of software with support vector regression,” 2009 International Conference on Advanced Information Technologies, 2009
[46] Jin-Tsong Jeng, Chen-Chia Chuang and Mei-Lang Chan, “Hybrid support vector machines learning for fuzzy neural networks with outliers,” IEEE International Conference on Fuzzy Systems, pp. 396 – 401, 2008.
[47] Chen-Chia Chuang, Jin-Tsong Jeng and Mei-Lang Chan, “Robust least squares-support vector machines for regression with outliers,” IEEE International Conference on Fuzzy Systems, pp. 312 – 317, 2008.
[48] Jin-Tsong Jeng, Chen-Chia Chuang and Y. C. Lee, “Annealing robust neural fuzzy networks for modeling of mitogen-activated protein kinases systems with outliers,” SICE Annual Conference, pp. 369 – 374, 2008.
[49] Chen-Chia Chuang, Jin-Tsong Jeng and Chih-Wen Li, “Fuzzy c-means clustering algorithm with unknown number of clusters for symbolic interval data,” SICE Annual Conference, pp. 369 – 374, 2008.
[50] J. T. Jeng, Ping-Lun Liao and C. C. Chuang, “Intelligent Information-Integrated Systems for Smart Home,” 2008 CACS International Automatic Control Conference, 2008.
[51] Jin-Tsong Jeng, Sheng-Lun Jheng and Chen-Chia Chuang, “Hybrid SVM-GPs regression for modeling of chaotic time-series system with noise,” 2008 The 16th National Conference on Fuzzy Theory and Its Applications, 2008.
[52] S. H. Tu, K. I. Hu, Jin-Tsong Jeng, “Classification and prediction of Tp53 breast cancer microarray data with Support vector machine,” 2008 International Conference on Digital Content, 2008.
[53] S. H. Tu, Sheng-Lun Jheng, Ping-Lun Liao, Jin-Tsong Jeng and T.Z. Shieh “Development of Visualize and analysis software for bioinformatics with matlab,” The 19th Workshop on Object-Oriented Technology and Applications, pp. 370-375, 2008
[54] Chin-Lung Cheng, Chien-Wei Liu, Jin-Tsong Jeng, Bau-Tong Dai, and Kun-Cheng Chen, “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), Taiwan, Nov. 28-29, 2008.
[55] Chin-Lung Cheng, Chien-Wei Liu , Jin-Tsong Jeng, Bau-Tong Dai, and Chen-Pang Tsai, “Characterization of TiOxNy nanoparticles embedded in HfOxNy as charge trapping nodes in nonvolatile memory devices,” International Electron Devices and Materials Symposium (IEDMS), Taiwan, Nov. 28-29, 2008.
[56] Chin-Lung Cheng, Jeng-Haur Horng, Min-Sheng Chiu and Jin-Tsong Jeng, “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), Taiwan, Nov. 28-29, 2008.
[57] C.–L. Cheng, C.-W. Liu, J.-T. Jeng, B.-T. Dai and K.-C Chen, “Fabrication and photovoltaic characterizations of silicon nanorod solar cells,” 21th International Microprocesses and Nanotechnology Conference (MNC 2008), Fukuoka, Japan, 28B-3-5, October 27-30, 2008.
[58] C.–L. Cheng, C.-W. Liu, Y.-H. Lee, J.-T. Jeng, and B.-T. Dai, “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), Sendai, Japan, Abstract ID 208, May 21-24, 2008.
[59] Chien-Wei Liu, Chin-Lung Cheng, Jin-Tsong Jeng, Bau-Tong Dai, and Yen-His Lee, “Characterization of Black Hybrid Silicon Nano-Materials as Light Trapping Textures for Solar Cells Applications,” The Symposium on Nano Device Technology (SNDT), SC-01, Taiwan, May 15-16, 2008. (Silver Paper Award in Advanced Solar Cell Technology Session)
[60] Chien-Wei Liu, Chin-Lung Cheng, Jin-Tsong Jeng, Bau-Tong Dai, and Sung-Wei Huang, “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), ND-14, Taiwan, May 15-16, 2008.
[61] S. H. Tu, K. I. Hu, Jin-Tsong Jeng, “Support vector machine for the classification of breast cancer microarray data,” International Conference on Safety & Security Management and Engineering Technology 2008.
[62] Yue-Shiang Liu, Ping-Lun Liao and Jin Tsong Jeng, “Web Service Technology for Retrieve Disease Genes Systems,” 2008 National Symposium on System Science and Engineering, 2008.
[63] Jin-Tsong Jeng, and C. C. Chuang, “Annealing Robust Fuzzy Neural Networks for Modeling of Molecular Biology Systems,” 2007 IEEE International Conference on System, Man, Cybernetics, 2007. (EI)
[64] J. T. Jeng and C. C. Chuang, “Annealing Robust Fuzzy Basis Function for Modeling of Molecular Autoregulatory Feedback Loop Systems with Outliers,” 2007 IEEE International Conference on Fuzzy Systems, 2007. (EI)
[65] C. C. Chuang, C. C. Hsu and J. T. Jeng “Integration of CMAC-GBF and Support Vector Regression Techniques,” 2007 IEEE International Conference on Fuzzy Systems, 2007. (EI)
[66] Jin-Tsong Jeng and Chen-Chia Chuang, “Annealing Robust Fuzzy Neural Networks for Modeling of Mitogen-Activated ProteinKinases Systems,” 2007 The 15th National Conference on Fuzzy Theory and Its Applications, pp. D1-1-1~6, 2007.
[67] J. T. Jeng, C. C. Chuang, and Yung-Cheng Lee, “Prediction of Ovarian Cancer Using Microarray Data based on Intelligent Systems,” 2007 CACS International Automatic Control Conference, pp. 734-739, 2007.
[68] C. C. Chuang, J. T. Jeng and Chih-Wen Li, “Fuzzy Weighted Support Vector Regression Networks for Outliers Detection of Microarray Data,” 2007 CACS International Automatic Control Conference, pp. 734-739, 2007.
[69] Chin-Lung Cheng, Kuei-Shu Chang-Liao, Ping-Hung Tsai, Chien-Wei Liu, Jin-Tsong Jeng, Sung-Wei Huang, and Bau-Tong Dai, “Characterization of CoxNiyO Bimetallic Oxide Nanoparticles as Charge Trapping Nodes in Nonvolatile Memory Devices,” International Semiconductor Device Research Symposium (ISDRS), MD, USA, TA-05, Dec. 12-14, 2007.
[70] Chin-Lung Cheng, Chien-Wei Liu, Sung-Wei Huang, Jin-Tsong Jeng, Shiuan-Hua Shiau, and Bau-Tong Dai “Bimetallic Oxide Nanoparticles CoxMoyO Embedded in HfOxNy as Charge Trapping Nodes of Nonvolatile Memory Devices,” International Electron Devices and Materials Symposium (IEDMS), p. A2-6, Taiwan, Nov. 30-Dec. 1, 2007.
[71] Chin-Lung Cheng, Chien-Wei Liu, and Jin-Tsong Jeng, “Work Function Tuning of Advanced Metal-Oxide-Semiconductor Devices with TixTayN Metal Gate Electrode,” National Conference on Modern Electrical Engineering Technologies (NCMEET), pp.135-138, Taiwan, June 8, 2007.
[72] Sung-Wei Huang, Chien-Wei Liu, Chin-Lung Cheng, Shiuan-Hua Shiau, Jin-Tsong Jeng and Bau-Tong Dai, “Memory Effect of Bimetallic Oxide Nanoparticles CoxMoyO as Charge Trapping Layer of Nonvolatile Memory Devices,” The Symposium on Nano Device Technology (SNDT), T6-10, Taiwan, May 10-11, 2007.
[73] Yue-Shiang Liu, Ping-Lun Liao and Jin Tsong Jeng, “Retrieve Disease Genes from NCBI via Web Service,” 2007 National Symposium on System Science and Engineering, 2007.
[74] J. T. Jeng and C. C. Chuang, “Classification and Prediction of Ovarian Cancer Using Microarray Data based on Intelligent Systems,” Proceedings of 2006 CACS Automatic Control Conference, pp. 734-739, 2006.
[75] C. C. Chuang and J. T. Jeng, “CPBUM Neural Networks for Modeling of Molecular Autoregulatory Feedback Loop Systems,” Proceedings of 2006 CACS Automatic Control Conference, pp. 1181-1186, 2006.
[76] C. C. Chuang and J. T. Jeng, “Computational Intelligence Approaches on Dynamic Functional Clustering Algorithm, Clusters of Interval Regression Analysis and Distance-Based Outliers Detection of Microarray Data for Ovarian Cancer,” Proceedings of 2006 CACS Automatic Control Conference, pp. 740-745, 2006.
[77] J. T. Jeng, T. T. Lee and G. S. Huang, “Intelligent Systems in ovarian Cancer Microarray Data for Molecular Evolution and Control,” 2006 The 14th National Conference on Fuzzy Theory and Its Applications, pp. C6-1-1~6, 2006.
[78] Chen-Chia Chuang, Chia-Chu Hsu and Jin-Tsong Jeng, “Integration of CMAC and Support Vector Regression Techniques,” 2006 The 14th National Conference on Fuzzy Theory and Its Applications, pp. D1-1-1~6, 2006.
[79] Shun Feng Su, Jin-Tsong Jeng, and Tsu-Tian Lee, “Discretizing Continuous-Time Controllers via Annealing Robust Walsh Function Networks,” 2006 IEEE International Conference on Fuzzy Systems, pp. 806-811, 2006. (EI)
[80] C. W. Tao, T. H. Su, C. C. Chuang and J. T. Jeng, “Support Vector Regression for Controller Approximation,” 2006 IEEE International Conference on Fuzzy Systems, pp. 812-816, 2006. (EI)
[81] Song-Shyong Chen, Chen-Chia Chuang and Jin-Tsong Jeng, “Arrrbf Neural Networks for Modeling of Nonlinear Dynamic Systems with Outlier,” The 12th International Conference on Neural Information Processing (ICONIP), 2005. (EI)
[82] Jin-Tsong Jeng, Yung-Cheng Lee, and Tsu-Tian Lee, “Classification of Ovarian Cancer based on Intelligent Systems with Microarray Data,” 2005 IEEE International Conference on System, Man, Cybernetics, pp. 1053-1058, 2005.
[83] Chen-Chia Chuang, Jin-Tsong Jeng and Shun-Feng Su, “Dimension Reduction with Support Vector Regression for Ovarian Cancer Microarray Data,” 2005 IEEE International Conference on System, Man, Cybernetics, pp. 1048-1052, 2005.
[84] Jin-Tsong Jeng and Chen-Chia Chuang, “Annealing Robust Walsh Function Networks for Modeling with Outliers and Digital Implementation,” 2005 IEEE International Symposium on Circuit and Systems, pp. 2498-2501, 2005.
[85] Chen-Chia Chuang, Jin-Tsong Jeng, and Mei Lang Chan, “A Study on the Support Vector Regression with Interval Input,” Proceedings of 2005 CACS Automatic Control Conference, Nov 18-19, 2005.
[86] Chen-Chia Chuang, Y.C. Lee and Jin-Tsong Jeng, “Discretizing Continuous-Time Controllers via Robust Neural Fuzzy Networks,” 2005 The 13th National Conference on Fuzzy Theory and Its Applications, 2005.
[87] Jin-Tsong Jeng, Chen-Chia Chuang and T. T. Lee, “Robust adaptive tracking control via cpbum neural network for mimo nonlinear systems,” The IEEE International Conference on Machine Learning and Cybernetics, Vol. 7, pp. 4096 – 4101, 2004.
[88] Jin-Tsong Jeng, “Annealing Robust Radial Basis Function Networks for Fuzzy Systems Implementation,” 2004 Twelfth National Conference on Fuzzy Theory and Its Applications, pp. 121-126, 2004.
[89] Chih-Ching Hsiao, Shun Feng Su, Jin-Tsong Jeng, and, Hung-Lin Lee, “Adaptive Hybrid Compensation Control for TSK Fuzzy Control Systems,” 2004 Twelfth National Conference on Fuzzy Theory and Its Applications, pp. 301-306, 2004.
[90] Chen-Chia Chuang and Jin-Tsong Jeng, “A Soft Computing Technique for Noise Data with Outliers,” The 2004 IEEE International Conference on Networking, Sensing and Control, pp. 1171-1176, 2004.
[91] Chen-Chia Chuang and Jin-Tsong Jeng, “Support Vector Regression with Adaptive Kernel Functions,” 2004 Automatic Control Conference, 2004.
[92] Chen-Chia Chuang, Y.C. Lee and Jin-Tsong Jeng, “A New Annealing Robust Fuzzy Basis Function for Modeling with Outliers,” 2003 IEEE International Conference on Systems, Man & Cybernetics, pp 4451-4456, 2003.
[93] Jin-Tsong Jeng, Chen-Chia Chuang and Y.C. Lee, “Annealing Robust Nonlinear Adaptive Inverse Control with FNNBSVR for Magnetic Bearing Systems,” The 5th IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 1276-1281, 2003.
[94] Chen-Chia Chuang, Chih-Ching Hsiao and Jin-Tsong Jeng, “Annealing Robust Nonlinear Adaptive Inverse Control with FNNBSVR for Magnetic Bearing Systems,” The 5th IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 201-206, 2003.
[95] Chen-Chia Chuang, Chih-Ching Hsiao and Jin-Tsong Jeng, “A novel approach for TSK fuzzy modeling with outliers,” International Conference on Machine Learning and Cybernetics, v 4, pp 2158-2163, 2003.
[96] Jin-Tsong Jeng, Chen-Chia Chuang and Chih-Ching Hsiao, “Robust Fuzzy Regression clustering algorithm for TSK fuzzy modeling with outliers,” 2003 The Joint Conferencn on AI, Fuzzy System, and Gray System, 2003.
[97] Chen-Chia Chuang, and Jin-Tsong Jeng, “Annealing robust CPBUM neural networks for modeling with noise and outliers,” 2003 Automatic Control Conference, 2003.
[98] Jin-Tsong Jeng and Chen-Chia Chuang, ”Support Vector Regression for Fuzzy and Neural Network,” 2002 ICONIP, 2002.
[99] Chen-Chia Chuang and Jin-Tsong Jeng , “Stability Analysis of Discretizing Continuous-Time Controllers via Fuzzy Neural Networks,” 2002 Tenth National Conference on Fuzzy Theory and Its Applications, 2002.
[100] Chen-Chia Chuang and Jin-Tsong Jeng “Support Vector Regression for Image Compression,” The Seventh Conference on Artificial Intelligence and Applications, pp. 678-683, 2002.
[101] Jin-Tsong Jeng and Chen-Chia Chuang, ” A Novel Approach for the Hyperparameters of Support Vector Regression,” 2002 IEEE International Joint Conference on Neural Networks, Vol. 1, pp. 642 –647, 2002.
[102] Chen-Chia Chuang and Jin-Tsong Jeng ”Constructing an Influence Function of Robust Learning Algorithm Based on Error Distributions for the Neural Networks,” 2002 IEEE International Joint Conference on Neural Networks, Vol. 3. pp. 2509 –2514, 2002.
[103] Jin-Tsong Jeng and Chen-Chia Chuang, “Annealing Nonlinear Adaptive Inverse Neural Network Control for Magnetic Bearing Systems,” 2002 Automatic Control Conference, pp. 747-752, 2002.
[104] Chen-Chia Chuang, Jin-Tsong Jeng and, Chih-Ching Hsiao “Robust Neuro-Fuzzy Networks with Outliers Based on Support Vector Regression,” 2002 Automatic Control Conference, pp. 729-734, 2002.
HomePage: http://csie.nfu.edu.tw/blog/files/21-1084-581.php
|
