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Advanced Intelligent Computing

7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers

  • Conference proceedings
  • © 2012

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Editors:
  1. De-Shuang Huang
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  2. Yong Gan
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  3. Vitoantonio Bevilacqua
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  4. Juan Carlos Figueroa
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6838)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

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Conference proceedings info: ICIC 2011.

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The 94 revised full papers presented were carefully reviewed and selected from 832 submissions. The papers are organized in topical sections on neural networks; machine learning theory and methods; fuzzy theory and models; fuzzy systems and soft computing; evolutionary learning & genetic algorithms; swarm intelligence and optimization; intelligent computing in computer vision; intelligent computing in image processing; biometrics with applications to individual security/forensic sciences; intelligent image/document retrievals; natural language processing and computational linguistics; intelligent data fusion and information security; intelligent computing in pattern recognition; intelligent agent and web applications; intelligent computing in scheduling; intelligent control and automation.

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Table of contents (94 papers)

  1. Front Matter

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  2. Neural Networks

    1. Neural Network Ensemble Model Using PPR and LS-SVR for Stock Market Forecasting

      • Lingzhi Wang, Jiansheng Wu
      Pages 1-8

    2. Stability Analysis of Neutral Systems with Distributed Delays

      • Duyu Liu, Qinzhen Huang
      Pages 9-16

    3. Neural Network Model for Forecasting Balkan Stock Exchanges

      • Miroslav Janeski, Slobodan Kalajdziski
      Pages 17-24

    4. A Robust Fault Detection and Isolation Scheme for Robot Manipulators Based on Neural Networks

      • Mien Van, Hee-Jun Kang, Young-Shick Ro
      Pages 25-32

    5. An Approach for High Resolution Radar Target Recognition Based on BP Neural Network

      • Wei Cao, Hui Zhou, Zhimin Zhou, Zuowei Fu
      Pages 33-39

  3. Machine Learning Theory and Methods

    1. Hybrid Clustering Algorithm Based on the Artificial Immune Principle

      • Yan Zhou, Zhifeng Hu
      Pages 40-46

    2. Succinct Initialization Methods for Clustering Algorithms

      • Xueru Liang, Shangkun Ren, Lei Yang
      Pages 47-54

    3. Variable Neighborhood Search for Drilling Operation Scheduling in PCB Industries

      • Yun-Chia Liang, Chia-Yun Tien
      Pages 55-62

    4. Adaptive Weighted Fusion of Local Kernel Classifiers for Effective Pattern Classification

      • Shixin Yang, Wangmeng Zuo, Lei Liu, Yanlai Li, David Zhang
      Pages 63-70

    5. Improvement of LEACH Routing Algorithm Based on Use of Balanced Energy in Wireless Sensor Networks

      • Jie Chen
      Pages 71-76

    6. Optimal Regularization Parameter Estimation for Regularized Discriminant Analysis

      • Lin Zhu
      Pages 77-82

    7. Optimized Projection for Sparse Representation Based Classification

      • Can-Yi Lu
      Pages 83-90

    8. Balanced-Sampling-Based Heterogeneous SVR Ensemble for Business Demand Forecasting

      • Yue Liu, Wang Wei, Kang Wang, Zhenjiang Liao, Jun-jun Gao
      Pages 91-99

  4. Fuzzy Theory and Models

    1. CCC: Classifier Combination via Classifier

      • Can-Yi Lu
      Pages 100-107

    2. Hybrid Reduction in Soft Set Decision Making

      • Ahmad Nazari Mohd Rose, Mohd Isa Awang, Hasni Hassan, Aznida Hayati Zakaria, Tutut Herawan, Mustafa Mat Deris
      Pages 108-115

  5. Fuzzy Systems and Soft Computing

    1. A New Class of ε-Optimal Learning Automata

      • Wen Jiang
      Pages 116-121

    2. Uncertainty Measures of Roughness Based on Interval Ordered Information Systems

      • Jie Wang
      Pages 122-130
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Other volumes

  1. Advanced Intelligent Computing

  2. Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence

  3. Bio-Inspired Computing and Applications

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