© 2009

Applications of Soft Computing

Updating the State of Art

  • Erel Avineri
  • Mario Köppen
  • Keshav Dahal
  • Yos Sunitiyoso
  • Rajkumar Roy
Conference proceedings

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

Table of contents

  1. Front Matter
  2. Design of Soft Computing Techniques

    1. Front Matter
      Pages 1-1
    2. Xiao-Zhi Gao, Seppo Ovaska, Xiaolei Wang
      Pages 3-12
    3. Huimin Wang, X. Z. Gao, Xianlin Huang, Zhuoyue Song
      Pages 13-21
    4. Tamas Kenesei, Balazs Feil, Janos Abonyi
      Pages 43-52
  3. Modelling, Control and Optimization

    1. Front Matter
      Pages 53-54
    2. Betzy Varghes, Alamgir Hossain, Keshav Dahal
      Pages 65-74
    3. José António Covas, António Gaspar-Cunha
      Pages 86-94
  4. Signal Processing and Pattern Recognition

    1. Front Matter
      Pages 95-96
    2. Anas Quteishat, Chee Peng Lim, Jeffrey Tweedale, Lakhmi C. Jain
      Pages 97-106
    3. Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
      Pages 115-124
  5. Civil Engineering

    1. Front Matter
      Pages 125-126
    2. Pijush Samui, Gautam Bhattacharya, Deepankar Choudhury
      Pages 127-136
    3. S. V. Barai, A. K. Gupta, Jayachandar Kodali
      Pages 137-146
  6. Computer Graphics, Imaging and Vision

    1. Front Matter
      Pages 147-149

About these proceedings


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.


Bayesian network artificial intelligence artificial neural network cognition evolution evolutionary algorithm evolutionary computation fuzzy logic fuzzy system genetic algorithm knowledge modeling modelling neural network pattern recognition

Editors and affiliations

  • Erel Avineri
    • 1
  • Mario Köppen
    • 2
  • Keshav Dahal
    • 3
  • Yos Sunitiyoso
    • 4
  • Rajkumar Roy
    • 5
  1. 1.Senior Lecturer in Integrated Transport Centre for Transport & Society Faculty of the Built EnvironmentUniversity of the West of EnglandBristolUK
  2. 2.Kyushu Institute of TechnologyDept. Artificial IntelligenceFukuokaJapan
  3. 3.MOSAIC Research Group Department of ComputingUniversity of BradfordBradfordUK
  4. 4.Centre for Transport & Society Faculty of the Built EnvironmentUniversity of the West of EnglandBristolUK
  5. 5.Professor of Decision Engineering and Head of Decision Engineering Centre Manufacturing DepartmentCranfield UniversityBedfordUK

Bibliographic information