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Advances in Neural Networks - ISNN 2009

6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part II

  • Conference proceedings
  • © 2009

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Editors:
  1. Wen Yu

    1. Departamento de Control Automático,, CINVESTAV-IPN,, México, México

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  2. Haibo He

    1. Deptartment of Electrical and Computer Engineering,, Stevens Institute of Technology,, Hoboken,, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Nian Zhang

    1. Dept. of Electrical and Computer Engineering,, South Dakota School of Mines & Technology,, Rapid City,, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5552)

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

Included in the following conference series:

Conference proceedings info: ISNN 2009.

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About this book

This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26–29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.

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Table of contents (137 papers)

  1. Front Matter

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  2. Fuzzy Systems and Fuzzy Neural Networks

    1. Online FCMAC-BYY Model with Sliding Window

      • Jiacai Fu, Thi Tra Giang Dang, Minh Nhut Nguyen, Daming Shi
      Pages 1-6

    2. Automated Sealed-Bid Negotiation Model for Multi-issue Based on Fuzzy Method

      • Linlan Zhang, Haigang Song, Xueguang Chen
      Pages 7-14

    3. Fuzzy Two-Stage Supply Chain Problem and Its Intelligent Algorithm

      • Guoli Wang, Yankui Liu, Mingfa Zheng
      Pages 15-24

    4. Modeling Fuzzy DEA with Type-2 Fuzzy Variable Coefficients

      • Rui Qin, Yankui Liu, Zhiqiang Liu, Guoli Wang
      Pages 25-34

    5. Research on Fuzzy Control Methods for Suspension Density and Liquid Levels in Dense-Medium Separation

      • Yang Xiang
      Pages 35-42

    6. Fuzzy Chance-Constrained Goal Programming Model and Algorithm of Oilfield Measures

      • Jiekun Song, Jiepeng Song, Yu Zhang, Zaixu Zhang, Shuiqing Fan
      Pages 43-49

    7. Concept Lattices in L-Rough Sets

      • Xueyou Chen
      Pages 50-59

    8. Project Scheduling Problem for Software Development with Random Fuzzy Activity Duration Times

      • Wei Huang, Lixin Ding, Bin Wen, Buqing Cao
      Pages 60-69

    9. Intelligent Client-Side Web Caching Scheme Based on Least Recently Used Algorithm and Neuro-Fuzzy System

      • Waleed Ali, Siti Mariyam Shamsuddin
      Pages 70-79

    10. The Expected Value of Imperfect Information to Fuzzy Programming

      • Mingfa Zheng, Guoli Wang, Guangxing Kou, Jia Liu
      Pages 80-87

    11. Rule Extraction and Reduction for Hyper Surface Classification

      • Qing He, Jincheng Li, Zhongzhi Shi
      Pages 88-98

    12. An Online Self-constructing Fuzzy Neural Network with Restrictive Growth

      • Ning Wang, Xianyao Meng, Meng Joo Er, Xinjie Han, Song Meng, Qingyang Xu
      Pages 99-108

    13. Study on the Offset Color Reproduction Control System Based on Fuzzy Neural Network

      • Liming Guan, Jian Lin
      Pages 109-117

    14. A Proposal of Fuzzy Inference Model Composed of Small-Number-of-Input Rule Modules

      • Noritaka Shigei, Hiromi Miyajima, Shinya Nagamine
      Pages 118-126

    15. Fuzzy Radial Basis Function Neural Networks with Information Granulation and Its Genetic Optimization

      • Jeoung-Nae Choi, Young-Il Lee, Sung-Kwun Oh
      Pages 127-134

    16. Fuzzy C-Means Cluster Segmentation Algorithm Based on Modified Membership

      • Yanling Li, Gang Li
      Pages 135-144

    17. A Study on Improved Fuzzy Neural Network Controller for Air-Condition with Frequency Change

      • Shuqing Wang, Zipeng Zhang, Zhihuai Xiao, Xiaohui Yuan
      Pages 145-154

    18. Fuzzy Neural Network Based on Improved T-S Model and Its Application

      • Zhiwei Huang, Jianzhong Zhou, Chaoshun Li, Fengpan Li, Yongchuan Zhang
      Pages 155-164

    19. Application of Artificial Intelligence Technique in Distributed Generation System

      • Guoqing Weng, Youbing Zhang, Yi Hu
      Pages 165-171
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Other volumes

  1. Advances in Neural Networks – ISNN 2009

  2. Advances in Neural Networks – ISNN 2009

  3. Advances in Neural Networks – ISNN 2009

Editors and Affiliations

  • Departamento de Control Automático,, CINVESTAV-IPN,, México, México

    Wen Yu

  • Deptartment of Electrical and Computer Engineering,, Stevens Institute of Technology,, Hoboken,, USA

    Haibo He

  • Dept. of Electrical and Computer Engineering,, South Dakota School of Mines & Technology,, Rapid City,, USA

    Nian Zhang

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