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Chee Peng Lim

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2009
37EEAnas Quteishat, Chee Peng Lim, Jeffrey Tweedale, Lakhmi C. Jain: A neural network-based multi-agent classifier system. Neurocomputing 72(7-9): 1639-1647 (2009)
2008
36EESiew 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
35EEChue Poh Tan, Chen Change Loy, Weng-Kin Lai, Chee Peng Lim: Robust modular ARTMAP for multi-class shape recognition. IJCNN 2008: 2405-2412
34EEAnas Quteishat, Chee Peng Lim: Application of the Fuzzy Min-Max Neural Networks to Medical Diagnosis. KES (3) 2008: 548-555
33EELakhmi C. Jain, Shing Chiang Tan, Chee Peng Lim: An Introduction to Computational Intelligence Paradigms. Computational Intelligence Paradigms 2008: 1-23
32EEShing 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)
31EEAnas 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)
30EELakhmi 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)
29EEChee 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)
28EEShing 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)
2007
27EEShir 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
26EELakhmi 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
25EELakhmi C. Jain, Anas Quteishat, Chee Peng Lim: Intelligent Machines: An Introduction. Innovations in Intelligent Machines (1) 2007: 1-9
24EEChee Peng Lim, Siew Chan Woo: Text-dependent Speaker Recognition using Wavelets and Neural Networks. Soft Comput. 11(6): 549-556 (2007)
2006
23EEChen Change Loy, Weng-Kin Lai, Chee Peng Lim: Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection. ICONIP (2) 2006: 776-785
22EEChee 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)
21EEShing 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)
2005
20EEChee 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)
19EEChee 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)
18EEChee 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)
17EEChee Peng Lim, Siow San Quek, Koh Khiang Peh: Application of the Gaussian mixture model to drug dissolution profiles prediction. Neural Computing and Applications 14(4): 345-352 (2005)
2004
16EEKok 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
15EEKai Meng Tay, Chee Peng Lim: Application of Fuzzy Inference Techniques to FMEA. WSC 2004: 161-171
14EEKok 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
13EEShing Chiang Tan, M. V. C. Rao, Chee Peng Lim: An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier. WSC 2004: 65-76
12EEEric 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)
11EERichard 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)
2003
10EEChee 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
9 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)
8EEMei 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)
2002
7EEW. Y. 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)
2001
6 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)
2000
5 Chee Peng Lim, Siew Chan Woo, Aun Sim Loh, Rohaizan Osman: Speech Recognition Using Artificial Neural Networks. WISE 2000: 419-425
1999
4EEChee 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
1997
3 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)
2EEChee Peng Lim, Robert F. Harrison: Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration. Neural Networks 10(4): 755-774 (1997)
1EEChee Peng Lim, Robert F. Harrison: An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation. Neural Networks 10(5): 925-939 (1997)

Coauthor Index

1Zalina Abdul Aziz [36]
2Kok Yeng Chen [14] [16]
3Grace W. Y. Cheng [11]
4Phaik Yean Goay [4]
5W. Y. Goh [7]
6Robert F. Harrison [1] [2] [3] [4] [8] [9] [10] [14] [18]
7Lakhmi C. Jain [25] [26] [30] [33] [37]
8R. Lee Kennedy [3]
9Mei Ming Kuan [8] [10] [18] [20]
10Weng-Kin Lai [16] [23] [27] [35]
11Eric W. M. Lee [11] [12]
12Jenn-Hwai Leong [20]
13S. M. Lo [12]
14Aun Sim Loh [5]
15Chen Change Loy [23] [27] [35]
16Arjuna Marzuki [36]
17Norhashimah Morad [36]
18Siew Chin Neoh [36]
19Ngoc Thanh Nguyen [30]
20Rohaizan Osman [5]
21Koh Khiang Peh [17]
22Kok Khiang Peh [6] [7]
23Siow San Quek [6] [17]
24Anas Quteishat [25] [31] [34] [37]
25M. V. C. Rao (Machavaram Venkata Chalapathy Rao) [13] [21] [28] [32]
26K. Subari [7]
27Chue Poh Tan [35]
28Kay Sin Tan [27]
29Shing Chiang Tan [13] [21] [26] [28] [32] [33]
30Kai Meng Tay [15]
31Chee Siong Teh [19] [22] [29]
32Poh Suan Teoh [4]
33Jeffrey Tweedale [37]
34Shir Li Wang [27]
35Siew Chan Woo [5] [24]
36Richard K. K. Yuen [11] [12]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)