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Applications of Soft Computing

Updating the State of the Art

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Erel Avineri

    1. Senior Lecturer in Integrated Transport Centre for Transport & Society Faculty of the Built Environment, University of the West of England, Bristol, UK

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  2. Mario Köppen

    1. Kyushu Institute of Technology, Dept. Artificial Intelligence, Fukuoka, Japan

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  3. Keshav Dahal

    1. MOSAIC Research Group Department of Computing, University of Bradford, Bradford, UK

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  4. Yos Sunitiyoso

    1. Centre for Transport & Society Faculty of the Built Environment, University of the West of England, Bristol, UK

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  5. Rajkumar Roy

    1. Professor of Decision Engineering and Head of Decision Engineering Centre Manufacturing Department, Cranfield University, Bedford, UK

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  • Contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007

Part of the book series: Advances in Intelligent and Soft Computing (AINSC, volume 52)

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About this book

Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. 'Applications of Soft Computing: Updating the State of Art' contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.

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Keywords

Table of contents (26 papers)

  1. Front Matter

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  2. Design of Soft Computing Techniques

    1. Front Matter

      Pages 1-1
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    2. Linguistic Information in Dynamical Fuzzy Systems — An Overview

      • Xiao-Zhi Gao, Seppo Ovaska, Xiaolei Wang
      Pages 3-12

    3. PSO-Optimized Negative Selection Algorithm for Anomaly Detection

      • Huimin Wang, X. Z. Gao, Xianlin Huang, Zhuoyue Song
      Pages 13-21

    4. Adaptation of Learning Parameters for Choquet Integral Agent Network by Using Genetic Algorithms

      • Santoso Handri, Kazuo Nakamura
      Pages 22-33

    5. Comparison of Effective Assessment Functions for Optimized Sensor System Design

      • Kuncup Iswandy, Andreas König
      Pages 34-42

    6. Visualization and Complexity Reduction of Neural Networks

      • Tamas Kenesei, Balazs Feil, Janos Abonyi
      Pages 43-52

  3. Modelling, Control and Optimization

    1. Front Matter

      Pages 53-54
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    2. Artificial Immune Network Combined with Normative Knowledge for Power Economic Dispatch of Thermal Units

      • Leandro dos Santos Coelho, Viviana Cocco Mariani
      Pages 55-64

    3. Scheduling of Tasks in Multiprocessor System Using Hybrid Genetic Algorithms

      • Betzy Varghes, Alamgir Hossain, Keshav Dahal
      Pages 65-74

    4. A Novel Modelling and Optimisation Technique for Business Processes: An Evolutionary Computing Based Approach

      • Mark Stelling, Rajkumar Roy, Ashutosh Tiwari
      Pages 75-85

    5. Use of Multi-objective Evolutionary Algorithms in Extrusion Scale-Up

      • José António Covas, António Gaspar-Cunha
      Pages 86-94

  4. Signal Processing and Pattern Recognition

    1. Front Matter

      Pages 95-96
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    2. A Multi-Agent Classifier System Based on the Trust-Negotiation-Communication Model

      • Anas Quteishat, Chee Peng Lim, Jeffrey Tweedale, Lakhmi C. Jain
      Pages 97-106

    3. Error Compensation Based Directional Interpolation Algorithm for Video Error Concealment

      • Liyong Ma, Yude Sun, Naizhang Feng
      Pages 107-114

    4. An Evolutionary Approach to Digitalized Hand Signs Recognition

      • Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
      Pages 115-124

  5. Civil Engineering

    1. Front Matter

      Pages 125-126
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    2. Prediction of Ultimate Capacity of Laterally Loaded Piles in Clay: A Relevance Vector Machine Approach

      • Pijush Samui, Gautam Bhattacharya, Deepankar Choudhury
      Pages 127-136

    3. Air Quality Forecaster: Moving Window Based Neuro Models

      • S. V. Barai, A. K. Gupta, Jayachandar Kodali
      Pages 137-146

  6. Computer Graphics, Imaging and Vision

    1. Front Matter

      Pages 147-149
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Editors and Affiliations

  • Senior Lecturer in Integrated Transport Centre for Transport & Society Faculty of the Built Environment, University of the West of England, Bristol, UK

    Erel Avineri

  • Kyushu Institute of Technology, Dept. Artificial Intelligence, Fukuoka, Japan

    Mario Köppen

  • MOSAIC Research Group Department of Computing, University of Bradford, Bradford, UK

    Keshav Dahal

  • Centre for Transport & Society Faculty of the Built Environment, University of the West of England, Bristol, UK

    Yos Sunitiyoso

  • Professor of Decision Engineering and Head of Decision Engineering Centre Manufacturing Department, Cranfield University, Bedford, UK

    Rajkumar Roy

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