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Bio-Inspired Computational Intelligence and Applications

International Conference on Life System Modeling, and Simulation, LSMS 2007, Shanghai, China, September 14-17, 2007. Proceedings

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Kang Li

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  2. Minrui Fei

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  3. George William Irwin

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  4. Shiwei Ma

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Part of the book series:Lecture Notes in Computer Science (LNCS, volume 4688)

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

Included in the following conference series:

Conference proceedings info: LSMS 2007.

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About this book

The International Conference on Life System Modeling and Simulation (LSMS) was formed to bring together international researchers and practitioners in the field of life system modeling and simulation as well as life system-inspired theory and methodology. The concept of a life system is quite broad. It covers both micro and macro c- ponents ranging from cells, tissues and organs across to organisms and ecologic niches. These interact and evolve to produce an overall complex system whose beh- ior is difficult to comprehend and predict. The arrival of the 21st century has been marked by a resurgence of research interest both in arriving at a systems-level und- standing of biology and in applying such knowledge in complex real-world appli- tions. Consequently, computational methods and intelligence in systems, biology, as well as bio-inspired computational intelligence, have emerged as key drivers for new computational methods. For this reason papers dealing with theory, techniques and real-world applications relating to these two themes were especially solicited. Building on the success of a previous workshop in 2004, the 2007 International Conference on Life System Modeling and Simulation (LSMS 2007) was held in Shanghai, China, September 14–17, 2007. The conference was jointly organized by The Shanghai University, Queen's University Belfast together with The Life System Modeling and Simulation Special Interest Committee of the Chinese Association for System Simulation.

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Keywords

Table of contents (84 papers)

  1. The First Section: Advanced Neural Network Theory, Algorithms and Application

    1. An Edge-Finding Algorithm on Blind Source Separation for Digital Wireless Applications

      • Jie Zhou, Keyou Yao, Ying Zhao, Yiyue Gao, Hisukazu Kicuchi
      Pages 10-17
    2. Research of Immune Neural Network Model Based on Extenics

      • Xiaoyuan Zhu, Yongquan Yu, Hong Wang
      Pages 18-27
    3. A Novel ANN Model Based on Quantum Computational MAS Theory

      • Xiangping Meng, Jianzhong Wang, Yuzhen Pi, Quande Yuan
      Pages 28-35
    4. A Novel Neural Network Based Reinforcement Learning

      • Jian Fan, Yang Song, MinRui Fei, Qijie Zhao
      Pages 46-54
  2. The Second Section: Advanced Evolutionary Computing Theory, Algorithms and Application

    1. Kernel-Based Online NEAT for Keepaway Soccer

      • Yun Zhao, Hua Cai, Qingwei Chen, Weili Hu
      Pages 100-107
    2. An Agent Reinforcement Learning Model Based on Neural Networks

      • Liang Gui Tang, Bo An, Dai Jie Cheng
      Pages 117-127
    3. Application of the Agamogenetic Algorithm to Solve the Traveling Salesman Problem

      • Yinghui Zhang, Zhiwei Wang, Qinghua Zeng, Haolei Yang, Zhihua Wang
      Pages 135-143
    4. A New Image Auto-Segmentation Algorithm Based on PCNN

      • Zhihong Zhang, Guangsheng Ma, Zhijiang Zhao
      Pages 152-161

Other volumes

  1. Bio-Inspired Computational Intelligence and Applications

  2. Life System Modeling and Simulation

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Softcover Book JPY 14299
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide -see info

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