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* | 2009 | |
---|---|---|

40 | EE | 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) |

39 | EE | 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) |

38 | EE | 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) |

2008 | ||

37 | EE | 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 |

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

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

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

33 | EE | 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) |

32 | EE | 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) |

31 | EE | 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) |

30 | EE | 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) |

29 | EE | 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) |

28 | EE | 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) |

2007 | ||

27 | EE | 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 |

26 | EE | 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 |

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

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

2006 | ||

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

22 | EE | 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) |

21 | EE | 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) |

2005 | ||

20 | EE | 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) |

19 | EE | 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) |

18 | EE | 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) |

17 | EE | Chee 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 | ||

16 | EE | 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 |

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

14 | EE | 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 |

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

12 | EE | 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) |

11 | EE | 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) |

2003 | ||

10 | EE | 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 |

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) | |

8 | EE | 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) |

2002 | ||

7 | EE | W. 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 | ||

4 | EE | 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 |

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) | |

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

1 | EE | 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) |