Advanced Intelligent Computing Theories and Applications

1. Front Matter

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2. Neural Networks

   1. Design of a Novel Six-Dimensional Force/Torque Sensor and Its Calibration Based on NN

      • Qiao-Kang Liang, Quan-Jun Song, Dan Zhang, Yun-Jian Ge, Guang-Bin Zhang, Hui-Bin Cao et al.

      Pages 1-8

   2. Incremental-Based Extreme Learning Machine Algorithms for Time-Variant Neural Networks

      • Yibin Ye, Stefano Squartini, Francesco Piazza

      Pages 9-16

   3. Global Exponential Robust Stability of Hopfield Neural Networks with Reaction-Diffusion Terms

      • Xiaohui Xu, Jiye Zhang

      Pages 17-24

   4. Direct Inverse Model Control Based on a New Improved CMAC Neural Network

      • Yingqi Ge, Shanshan Ma, Xiaoping Luo

      Pages 25-32

   5. Further Research on Extended Alternating Projection Neural Network

      • Jingen Wang, Yanfei Wang, Xunxue Cui

      Pages 33-40

   6. Global Synchronization in an Array of Hybrid Coupling Neural Networks with Multiple Time-Delay Components

      • Feng Jian, Gong Dawei

      Pages 41-48

   7. Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System

      • QingXiang Wu, T. M. McGinnity, Liam Maguire, G. D. Valderrama-Gonzalez, Patrick Dempster

      Pages 49-57

   8. The White Noise Impact on the Optimal Performance of the Hopfield Neural Network

      • Yaoqun Xu, Yulei Li

      Pages 58-65

   9. The Study and Realization of Virtual Organization File System Based on DHT Technology

      • Jiqing Liu, Jinhua Huang, Chen Xing

      Pages 66-71

3. Evolutionary Learning and Genetic Algorithms

   1. A Novel Quantum Genetic Algorithm for PID Controller

      • Jindong Wang, Rigui Zhou

      Pages 72-77

   2. Research on Hybrid Evolutionary Algorithms with Differential Evolution and GUO Tao Algorithm Based on Orthogonal Design

      • Zhan-Fang Zhao, Kun-Qi Liu, Xia Li, You-Hua Zhang, Shu-Lin Wang

      Pages 78-85

   3. An Improved Evolution Strategy for Constrained Circle Packing Problem

      • Yan-jun Shi, Zhuang-Cheng Liu, Shuai Ma

      Pages 86-93

   4. Lecture Notes in Computer Science: Research on Multi-robot Avoidance Collision Planning Based on XCS

      • Jie shao, Jing-yu Yang

      Pages 94-101

4. Fuzzy Theory and Models

   1. An Integrated Method for the Construction of Compact Fuzzy Neural Models

      • Wanqing Zhao, Kang Li, George W. Irwin, Minrui Fei

      Pages 102-109

   2. Scalarization of Type-1 Fuzzy Markov Chains

      • Dusko Kalenatic, Juan C. Figueroa-García, Cesar Amilcar Lopez

      Pages 110-117

5. Fuzzy Systems and Soft Computing

   1. Applying Fuzzy Differential Equations to the Performance Analysis of Service Composition

      • Zuohua Ding, Hui Shen

      Pages 118-125

   2. Lattice Structures of Fuzzy Soft Sets

      • Keyun Qin, Hua Zhao

      Pages 126-133

   3. A Predicate Formal System of Universal Logic with Projection Operator

      • Yingcang Ma, Mei Zhang

      Pages 134-141

   4. A Neuro-Evolutive Interval Type-2 TSK Fuzzy System for Volatile Weather Forecasting

      • Dusko Kalenatic, Juan C. Figueroa-García, Cesar Amilcar Lopez

      Pages 142-149

The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intel- gence, machine learning, pattern recognition, image processing, bioinformatics, and computational biology. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the m- tifaceted aspects of intelligent computing. ICIC 2010, held in Changsha, China, August 18-21, 2010, constituted the 6th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2009, ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 that were held in Ulsan, Korea, Shanghai, Qingdao, Kunming and Hefei, China, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Advanced Intelligent Computing Technology and Applications”. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

• algorithms
• artificial intelligence
• bioinformatics
• computational bioscience
• computational neuroscience
• evolutionary computing
• hci
• human computer interface
• intelligent computing
• pattern recognition
• soft computing
• software engineering

• Intelligent Computing Laboratory, Chinese Academy of Sciences, Hefei, China

  De-Shuang Huang

• Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, USA

  Zhongming Zhao

• Electrical and Electronics Department, Polytechnic of Bari, Bari, Italy

  Vitoantonio Bevilacqua

• Faculty of Engineering, District University Francisco José de Caldas, Bogotá, Colombia

  Juan Carlos Figueroa

Policies and ethics