Chee Peng Lim

Chee Peng Lim, Canicious Abeynayake, Mika Sato-Ilic, Lakhmi C. Jain: Special issue: Computational intelligence models for image processing and information reasoning. Journal of Intelligent and Fuzzy Systems 24(2): 199-200 (2013)

Chee Peng Lim, Valentina Emilia Balas, Quoc Do: Special issue recent advances in soft computing: Theories and applications. Journal of Intelligent and Fuzzy Systems 24(3): 415-416 (2013)

Choo Jun Tan, Chee Peng Lim, Yu-N. Cheah: A Modified micro Genetic Algorithm for undertaking Multi-Objective Optimization Problems. Journal of Intelligent and Fuzzy Systems 24(3): 483-495 (2013)

Hussein Samma, Chee Peng Lim, Umi Kalthum Ngah: A Hybrid PSO-FSVM Model and Its Application to Imbalanced Classification of Mammograms. ACIIDS (1) 2013: 275-284

Bestoun S. Ahmed, Kamal Zuhairi Zamli, Chee Peng Lim: Application of Particle Swarm Optimization to uniform and variable strength covering array construction. Appl. Soft Comput. 12(4): 1330-1347 (2012)

Kai Meng Tay, Tze Ling Jee, Chee Peng Lim: A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems. Journal of Intelligent and Fuzzy Systems 23(2-3): 71-92 (2012)

Lakhmi C. Jain, Chee Peng Lim: Special Issue on "Intelligent Information Processing: Techniques and Applications". KES Journal 16(1): 1-2 (2012)

Kai Meng Tay, Chee Peng Lim, Tze Ling Jee: Building monotonicity-preserving Fuzzy Inference models with optimization-based similarity reasoning and a monotonicity index. FUZZ-IEEE 2012: 1-8

Kai Meng Tay, Chee Peng Lim, Chin Ying Teh, See Hung Lau: A monotonicity index for the monotone fuzzy modeling problem. FUZZ-IEEE 2012: 1-8

Jinsong Leng, Chee Peng Lim: Reinforcement learning of competitive and cooperative skills in soccer agents. Appl. Soft Comput. 11(1): 1353-1362 (2011)

Kai Meng Tay, Chee Peng Lim: A fuzzy inference system-based criterion-referenced assessment model. Expert Syst. Appl. 38(9): 11129-11136 (2011)

Joshua Ignatius, Adli Mustafa, Muhamad Jantan, Chee Peng Lim, T. Ramayah, Jasmine Yeap Ai Leen: A Multi-Objective Sensitivity Approach to Training Providers' Evaluation and quota Allocation Planning. International Journal of Information Technology and Decision Making 10(1): 147-174 (2011)

Kai Meng Tay, Chee Peng Lim: On Monotonic sufficient conditions of Fuzzy Inference Systems and their Applications. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 19(5): 731-757 (2011)

Shing Chiang Tan, Chee Peng Lim: Fuzzy ARTMAP and hybrid evolutionary programming for pattern classification. Journal of Intelligent and Fuzzy Systems 22(2-3): 57-68 (2011)

Shing Chiang Tan, Chee Peng Lim: Integration of supervised ART-based neural networks with a hybrid genetic algorithm. Soft Comput. 15(2): 205-219 (2011)

Anas Quteishat, Chee Peng Lim, Junita Mohamad-Saleh, Jeffrey Tweedale, Lakhmi C. Jain: A neural network-based multi-agent classifier system with a Bayesian formalism for trust measurement. Soft Comput. 15(2): 221-231 (2011)

Keem Siah Yap, Chee Peng Lim, Mau Teng Au: Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems. IEEE Transactions on Neural Networks 22(12): 2310-2323 (2011)

Mahnoosh Nadjarpoorsiyahkaly, Chee Peng Lim: A Hybrid Neural Classifier for Dimensionality Reduction and Data Visualization and Its Application to Fault Detection and Classification of Induction Motors. BIC-TA 2011: 146-150

Kai Meng Tay, Chee Peng Lim: An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems. FUZZ-IEEE 2011: 442-447

Kai Meng Tay, Chee Peng Lim: Optimization of Gaussian fuzzy membership functions and evaluation of the monotonicity property of Fuzzy Inference Systems. FUZZ-IEEE 2011: 1219-1224

Phit Ling Tan, Shing Chiang Tan, Chee Peng Lim, Swee Eng Khor: A Modified Two-Stage SVM-RFE Model for Cancer Classification Using Microarray Data. ICONIP (1) 2011: 668-675

Dipti Srinivasan, Robert J. Howlett, Ignac Lovrek, Lakhmi C. Jain, Chee Peng Lim: Design and application of neural networks and intelligent learning systems. Neurocomputing 73(4-6): 591-592 (2010)

Chee Peng Lim, Shir Li Wang, Kay Sin Tan, Jose C. Navarro, Lakhmi C. Jain: Use of the circle segments visualization technique for neural network feature selection and analysis. Neurocomputing 73(4-6): 613-621 (2010)

Keem Siah Yap, Chee Peng Lim, Junita Mohamad-Saleh: An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification. Journal of Intelligent and Fuzzy Systems 21(1-2): 65-78 (2010)

Minh Dao-Johnson Tran, Chee Peng Lim, Canicious Abeynayake, Lakhmi C. Jain: Feature extraction and classification of metal detector signals using the wavelet transform and the fuzzy ARTMAP neural network. Journal of Intelligent and Fuzzy Systems 21(1-2): 89-99 (2010)

Kai Meng Tay, Chee Peng Lim: Enhancing the Failure Mode and Effect Analysis methodology with fuzzy inference techniques. Journal of Intelligent and Fuzzy Systems 21(1-2): 135-146 (2010)

Shing Chiang Tan, Chee Peng Lim: Evolutionary Fuzzy ARTMAP Neural Networks and their Applications to Fault Detection and Diagnosis. Neural Processing Letters 31(3): 219-242 (2010)

Siew Chin Neoh, Norhashimah Morad, Chee Peng Lim, Zalina Abdul Aziz: A Layered-Encoding Cascade Optimization Approach to Product-Mix Planning in High-Mix-Low-Volume Manufacturing. IEEE Transactions on Systems, Man, and Cybernetics, Part A 40(1): 133-146 (2010)

Anas Quteishat, Chee Peng Lim, Kay Sin Tan: A Modified Fuzzy Min-Max Neural Network With a Genetic-Algorithm-Based Rule Extractor for Pattern Classification. IEEE Transactions on Systems, Man, and Cybernetics, Part A 40(3): 641-650 (2010)

Hussein Samma, Chee Peng Lim, Ali Samma: A Computer-Aided Detection System for Automatic Mammography Mass Identification. ICONIP (2) 2010: 226-233

Jinsong Leng, Chee Peng Lim, Jiuyong Li, Dongguang Li, Lakhmi C. Jain: A Role-Based Cognitive Architecture for Multi-Agent Teaming. Agent and Multi-agent Technology for Internet and Enterprise Systems 2010: 229-255

Chee Peng Lim, Lakhmi C. Jain, Satchidananda Dehuri (Eds.): Innovations in Swarm Intelligence. Studies in Computational Intelligence 248, Springer 2009, isbn 978-3-642-04224-9

Chee Peng Lim, Jadranka Sunde, Lakhmi C. Jain: Special issue on intelligent knowledge processing and decision making techniques. Intelligent Decision Technologies 3(2): 83-84 (2009)

Anas Quteishat, Chee Peng Lim, Jeffrey Tweedale, Lakhmi C. Jain: A neural network-based multi-agent classifier system. Neurocomputing 72(7-9): 1639-1647 (2009)

Ngoc Thanh Nguyen, Chee Peng Lim, Lakhmi C. Jain, Valentina Emilia Balas: Theoretical advances and applications of intelligent paradigms. Journal of Intelligent and Fuzzy Systems 20(1-2): 1-2 (2009)

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim: An online pruning strategy for supervised ARTMAP-based neural networks. Neural Computing and Applications 18(4): 387-395 (2009)

Kai Meng Tay, Chee Peng Lim: On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models. FUZZ-IEEE 2009: 1736-1740

Shing Chiang Tan, Chee Peng Lim, Kay Sin Tan, Jose C. Navarro: An Evolutionary Artificial Neural Network for Medical Pattern Classification. ICONIP (2) 2009: 475-482

Shing Chiang Tan, Chee Peng Lim: Improving the Performance of Fuzzy ARTMAP with Hybrid Evolutionary Programming: An Experimental Study. ICONIP (2) 2009: 593-600

Chee Peng Lim, Lakhmi C. Jain: Advances in Swarm Intelligence. Innovations in Swarm Intelligence 2009: 1-7

Siew Chin Neoh, Norhashimah Morad, Arjuna Marzuki, Chee Peng Lim, Zalina Abdul Aziz: A Multi-resolution GA-PSO Layered Encoding Cascade Optimization Model. Innovations in Swarm Intelligence 2009: 121-140

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim: Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility. Appl. Soft Comput. 8(1): 543-554 (2008)

Anas Quteishat, Chee Peng Lim: A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification. Appl. Soft Comput. 8(2): 985-995 (2008)

Chee Peng Lim, Lakhmi C. Jain, Ngoc Thanh Nguyen, Valentina E. Balas: Guest Editorial: Special issue on advances in computational intelligence paradigms and applications. FO & DM 7(3): 215-217 (2008)

Kai Meng Tay, Chee Peng Lim: On the use of fuzzy inference techniques in assessment models: part I - theoretical properties. FO & DM 7(3): 269-281 (2008)

Kai Meng Tay, Chee Peng Lim: On the use of fuzzy inference techniques in assessment models: part II: industrial applications. FO & DM 7(3): 283-302 (2008)

Lakhmi C. Jain, Chee Peng Lim, Ngoc Thanh Nguyen: Recent advances in intelligent paradigms fusion and their applications. Int. J. Hybrid Intell. Syst. 5(3): 109-110 (2008)

Chee Siong Teh, Chee Peng Lim: An Artificial Neural Network Classifier Design Based-on Variable Kernel and Non-Parametric Density Estimation. Neural Processing Letters 27(2): 137-151 (2008)

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim: A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm. Soft Comput. 12(8): 765-775 (2008)

Keem Siah Yap, Chee Peng Lim, I. Z. Abidi: A Hybrid ART-GRNN Online Learning Neural Network With a varepsilon -Insensitive Loss Function. IEEE Transactions on Neural Networks 19(9): 1641-1646 (2008)

Siew Chin Neoh, Arjuna Marzuki, Norhashimah Morad, Chee Peng Lim, Zalina Abdul Aziz: An interactive genetic algorithm approach to MMIC low noise amplifier design using a layered encoding structure. IEEE Congress on Evolutionary Computation 2008: 1571-1575

Chue Poh Tan, Chen Change Loy, Weng-Kin Lai, Chee Peng Lim: Robust modular ARTMAP for multi-class shape recognition. IJCNN 2008: 2405-2412

Anas Quteishat, Chee Peng Lim: Application of the Fuzzy Min-Max Neural Networks to Medical Diagnosis. KES (3) 2008: 548-555

Lakhmi C. Jain, Shing Chiang Tan, Chee Peng Lim: An Introduction to Computational Intelligence Paradigms. Computational Intelligence Paradigms 2008: 1-23

S. C. Tan, Chee Peng Lim, M. V. C. Rao: A hybrid neural network model for rule generation and its application to process fault detection and diagnosis. Eng. Appl. of AI 20(2): 203-213 (2007)

Chee Peng Lim, Siew Chan Woo: Text-dependent Speaker Recognition using Wavelets and Neural Networks. Soft Comput. 11(6): 549-556 (2007)

Shir Li Wang, Chen Change Loy, Chee Peng Lim, Weng-Kin Lai, Kay Sin Tan: Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification. ICONIP (1) 2007: 625-634

Chen Change Loy, Weng-Kin Lai, Chee Peng Lim: Keystroke Patterns Classification Using the ARTMAP-FD Neural Network. IIH-MSP 2007: 61-64

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim: A Mutation-Based Evolving Neural Network Model and Its Application to Condition Monitoring. IIH-MSP 2007: 65-68

Lakhmi C. Jain, Anas Quteishat, Chee Peng Lim: Intelligent Machines: An Introduction. Innovations in Intelligent Machines (1) 2007: 1-9

Lakhmi C. Jain, Shing Chiang Tan, Chee Peng Lim: Introduction to Evolutionary Computing in System Design. Advances in Evolutionary Computing for System Design 2007: 1-9

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim: On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment. Neurocomputing 69(16-18): 2456-2460 (2006)

Chee Siong Teh, Chee Peng Lim: Monitoring the Formation of Kernel-Based Topographic Maps in a Hybrid SOM-kMER Model. IEEE Transactions on Neural Networks 17(5): 1336-1341 (2006)

Chen Change Loy, Weng-Kin Lai, Chee Peng Lim: Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection. ICONIP (2) 2006: 776-785

Chee Siong Teh, Chee Peng Lim: A hybrid SOM-kMER model for data visualization and classification . Int. J. Hybrid Intell. Syst. 2(3): 189-203 (2005)

Chee Peng Lim, Mei Ming Kuan, Robert F. Harrison: Application of fuzzy ARTMAP and fuzzy c-means clustering to pattern classification with incomplete data. Neural Computing and Applications 14(2): 104-113 (2005)

Chee Peng Lim, Siow San Quek, Kok Khiang Peh: Application of the Gaussian mixture model to drug dissolution profiles prediction. Neural Computing and Applications 14(4): 345-352 (2005)

Chee Peng Lim, Jenn-Hwai Leong, Mei Ming Kuan: A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features. IEEE Trans. Pattern Anal. Mach. Intell. 27(4): 648-653 (2005)

Richard K. K. Yuen, Eric W. M. Lee, Chee Peng Lim, Grace W. Y. Cheng: Fusion of GRNN and FA for Online Noisy Data Regression. Neural Processing Letters 19(3): 227-241 (2004)

Eric W. M. Lee, Chee Peng Lim, Richard K. K. Yuen, S. M. Lo: A hybrid neural network model for noisy data regression. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(2): 951-960 (2004)

Kok Yeng Chen, Chee Peng Lim, Weng-Kin Lai: Fault Detection and Diagnosis Using the Fuzzy Min-Max Neural Network with Rule Extraction. KES 2004: 357-364

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim: An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier. WSC 2004: 65-76

Kai Meng Tay, Chee Peng Lim: Application of Fuzzy Inference Techniques to FMEA. WSC 2004: 161-171

Kok Yeng Chen, Chee Peng Lim, Robert F. Harrison: Boosting the Performance of the Fuzzy Min-Max Neural Network in Pattern Classification Tasks. WSC 2004: 373-387

Mei Ming Kuan, Chee Peng Lim, Robert F. Harrison: On Operating Strategies of the Fuzzy Artmap Neural Network: A Comparative Study. International Journal of Computational Intelligence and Applications 3(1): 23-43 (2003)

Wei Yee Goh, Chee Peng Lim, Kok Khiang Peh: Predicting drug dissolution profiles with an ensemble of boosted neural networks: a time series approach. IEEE Transactions on Neural Networks 14(2): 459-463 (2003)

Chee Peng Lim, Robert F. Harrison: Online pattern classification with multiple neural network systems: an experimental study. IEEE Transactions on Systems, Man, and Cybernetics, Part C 33(2): 235-247 (2003)

Chee Peng Lim, Mei Ming Kuan, Robert F. Harrison: An ART-Based Hybrid Network for Medical Pattern Classification Tasks with Missing Data. KES 2003: 7-15

Wei Yee Goh, Chee Peng Lim, Kok Khiang Peh, K. Subari: Application of a Recurrent Neural Network to Prediction of Drug Dissolution Profiles. Neural Computing and Applications 10(4): 311-317 (2002)

Siow San Quek, Chee Peng Lim, Kok Khiang Peh: Prediction of Drug Dissolution Profiles Using Artificial Neural Networks. International Journal of Computational Intelligence and Applications 1(2): 187-202 (2001)

Chee Peng Lim, Siew Chan Woo, Aun Sim Loh, Rohaizan Osman: Speech Recognition Using Artificial Neural Networks. WISE 2000: 419-425

Chee Peng Lim, Phaik Yean Goay, Poh Suan Teoh, Robert F. Harrison: Combination of decisions from a multiple neural network classifier system. KES 1999: 191-194

Chee Peng Lim, Robert F. Harrison, R. Lee Kennedy: Application of autonomous neural network systems to medical pattern classification tasks. Artificial Intelligence in Medicine 11(3): 215-239 (1997)

Chee Peng Lim, Robert F. Harrison: Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration. Neural Networks 10(4): 755-774 (1997)

Chee Peng Lim, Robert F. Harrison: An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation. Neural Networks 10(5): 925-939 (1997)