Computational Intelligence

1. Fuzzy Systems

   1. Robust Stabilization of Takagi-Sugeno Fuzzy Systems with Parametric Uncertainties Using Fuzzy Region Concept

      • Zhicheng Ji, Yinghuan Zhou, Yanxia Shen

      Pages 152-158

   2. Quantitative Measurement for Fuzzy System to Input and Rule Perturbations

      • Dong-Jun Yu, Xiao-Jun Wu, Jing-Yu Yang

      Pages 159-164

   3. Modeling of Distributed Intrusion Detection Using Fuzzy System

      • Heesuk Seo, Taekyung Kim, Hyungjong Kim

      Pages 165-170

   4. Temporal Error Concealment Algorithm Using Fuzzy Metric

      • Changcai Lai, Chongyang Hao, Xiangyu Shen

      Pages 171-176

   5. Universal Approximation of Binary-Tree Hierarchical Fuzzy Systems with Typical FLUs

      • Xiangyan Zhang, Naiyao Zhang

      Pages 177-182

2. Fuzzy-Neuro-Evolutionary Hybrids

   1. A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models

      • John Q. Gan, Shang-Ming Zhou

      Pages 183-194

   2. Fuzzy Data Clustering Using Artificial Immune Network

      • Li Liu, Wenbo Xu

      Pages 195-205

   3. RAOGA-Based Fuzzy Neural Network Model of Design Evaluation

      • Li-Hua Xue, Hong-Zhong Huang, Jun Hu, Qiang Miao, Dan Ling

      Pages 206-211

   4. The Development of a Weighted Evolving Fuzzy Neural Network

      • Pei-Chann Chang, Chen-Hao Liu, Chia-Hsuan Yeh, Shih-Hsin Chen

      Pages 212-221

   5. Fuzzy Neural Classifier for Transformer Fault Diagnosis Based on EM Learning

      • Hongsheng Su, Qunzhan Li

      Pages 222-229

   6. System Identification Using Hierarchical Fuzzy CMAC Neural Networks

      • Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moreno-Armendariz

      Pages 230-235

3. Supervised, Unsupervised and Reinforcement Learning

   1. A Reliable Resilient Backpropagation Method with Gradient Ascent

      • Xugang Wang, Hongan Wang, Guozhong Dai, Zheng Tang

      Pages 236-244

   2. Face Recognition Using Null Space-Based Local Discriminant Embedding

      • Yanmin Niu, Xuchu Wang

      Pages 245-255

   3. Reformulated Parametric Learning Based on Ordinary Differential Equations

      • Shuang-Hong Yang, Bao-Gang Hu

      Pages 256-267

   4. Supervised Feature Extraction Algorithm Based on Continuous Divergence Criterion

      • Shifei Ding, Zhongzhi Shi, Fengxiang Jin

      Pages 268-277

   5. A New Binary Classifier: Clustering-Launched Classification

      • Tung-Shou Chen, Chih-Chiang Lin, Yung-Hsing Chiu, Hsin-Lan Lin, Rong-Chang Chen

      Pages 278-283

   6. A Novel Clustering Algorithm Based on Variable Precision Rough-Fuzzy Sets

      • Zhiqiang Bao, Bing Han, Shunjun Wu

      Pages 284-289

   7. Applying Bayesian Approach to Decision Tree

      • Yatong Zhou, Taiyi Zhang, Zhigang Chen

      Pages 290-295

   8. Approximation Algorithms for K-Modes Clustering

      • Zengyou He, Shengchun Deng, Xiaofei Xu

      Pages 296-302

   9. Convergence of a New Decomposition Algorithm for Support Vector Machines

      • Yan-Guo Wang, Hong Qiao, Bo Zhang

      Pages 303-308

The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2006 held in Kunming, Yunnan, China, August 16-19, 2006, was the second International Conference on Intelligent Computing, built upon the success of ICIC 2005 held in Hefei, China, 2005. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. It intended to unify the contemporary intelligent computing techniques within an integral framework that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. In particular, bio-inspired computing emerged as having a key role in pursuing for novel technology in recent years. The resulting techniques vitalize life science engineering and daily life applications. In light of this trend, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers related to this theme were especially solicited, including theories, methodologies, and applications in science and technology.

• affective computing
• algorithm
• algorithms
• artificial neural network
• computational intelligence
• evolution
• expert system
• fuzzy
• fuzzy system
• fuzzy systems
• game theory
• intelligence
• learning
• neural network
• reinforcement learning

• Institute of Intelligent Machines , Chinese Academy of Sciences , Anhui, China

  De-Shuang Huang

• Queen’s University , Belfast, UK

  Kang Li, George William Irwin

Policies and ethics