Applications of Soft Computing

Recent Trends

  • Ashutosh Tiwari
  • Rajkumar Roy
  • Joshua Knowles
  • Erel Avineri
  • Keshav Dahal

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 36)

Table of contents

  1. Front Matter
    Pages I-XIX
  2. Computer Graphics, Imaging and Vision

    1. Front Matter
      Pages 1-1
    2. Muhammad Sarfraz, Sadiq M. Sait, Mohmmed Balah, M. Humayun Baig
      Pages 35-44
  3. Control and Robotics

    1. Front Matter
      Pages 45-45
    2. Xiaojun Ban, X. Z. Gao, Xianlin Huang, H. S. Lin
      Pages 47-56
    3. Y. Liu, X. Z. Gao, X. Wang
      Pages 57-66
    4. Nirmal Baran Hui, Dilip Kumar Pratihar
      Pages 67-76
    5. Rodrigo R. Sumar, Antonio A. R. Coelho, Leandro dos Santos Coelho
      Pages 77-86
  4. Design

  5. Pattern Recognition

    1. Front Matter
      Pages 121-121
    2. Karina Odinaev, Igal Raichelgauz, Yehoshua Y. Zeevi
      Pages 123-131
    3. Patricia Melin, Gabriela Martinez, Claudia Gonzalez, Diana Bravo, Felma Gonzalez
      Pages 133-142
    4. Matthew Wiggins, Ashraf Saad, Brian Litt, George Vachtsevanos
      Pages 143-152
    5. Juan Wachs, Helman Stern, Yael Edan, Michael Gillam, Craig Feied, Mark Smith et al.
      Pages 153-162

About these proceedings


Soft Computing is a complex of methodologies that embraces 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: Recent Trends' contains a collection of papers that were presented at the 10th Online World Conference on Soft Computing in Industrial Applications, held in September 2005. 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 optimisation, data analysis and data mining, computer graphics and vision, prediction and diagnosis, design, intelligent control, and traffic and transportation systems. The book is aimed at researchers and professional engineers who are engaged in developing and applying intelligent systems. It is also suitable as wider reading for science and engineering postgraduate students.


Bayesian network classification evolutionary algorithm evolutionary computation expert system machine learning modeling navigation neural network optimization robot robotics swarm intelligence uncertainty visualization

Editors and affiliations

  • Ashutosh Tiwari
    • 1
  • Rajkumar Roy
    • 1
  • Joshua Knowles
    • 2
  • Erel Avineri
    • 3
  • Keshav Dahal
    • 4
  1. 1.Enterprise Integration School of Industrial and Manufacturing Science (SIMS)Cranfield UniversityCranfield, BedfordshireUK
  2. 2.School of ChemistryUniversity of ManchesterManchesterUK
  3. 3.Centre for Transport & Society Faculty of the Built EnvironmentUniversity of the West of EnglandBristolUK
  4. 4.School of InformaticsUniversity of BradfordBradford, West YorkshireUK

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-29123-7
  • Online ISBN 978-3-540-36266-1
  • Series Print ISSN 1867-5662
  • About this book