Soft Computing Based Modeling in Intelligent Systems

  • Valentina Emilia Balas
  • János Fodor
  • Annamária R. Várkonyi-Kóczy

Part of the Studies in Computational Intelligence book series (SCI, volume 196)

Table of contents

  1. Front Matter
  2. Koen C. Maes, Bernard De Baets
    Pages 19-34
  3. A. E. Ruano, E. M. Crispim, P. M. Frazão
    Pages 35-61
  4. Nathalie Pessel, Jean Duplaix, Jean-François Balmat, Frédéric Lafont
    Pages 93-113
  5. Marius M. Balas
    Pages 145-167
  6. Sanda Dale, Toma-Leonida Dragomir
    Pages 169-203
  7. Back Matter

About this book

Introduction

The book includes soft computing implementations of intelligent systems models. The recent popularity of fuzzy systems, neural networks and evolutionary computation, considered as related in AI, are now widely used to build intelligent systems. Professor Lotfi A. Zadeh has suggested the term "Soft Computing" for all new techniques working in these new areas of AI. Soft Computing techniques are tolerant to imprecision, uncertainty and partial truth. Due to the large variety and complexity of the domain, the constituting methods of Soft Computing are not competing for a comprehensive ultimate solution. Instead they are complementing each other, for dedicated solutions adapted to each specific problem. Hundreds of concrete applications are already available in many domains. Model based approaches offer a very challenging way to integrate a priori knowledge into procedures. Due to their flexibility, robustness, and easy interpretability, the soft computing applications will continue to have an exceptional role in our technologies.

Keywords

Wavelet artificial intelligence bioinformatics control evolution evolutionary computation fuzzy fuzzy system knowledge model modeling neural network neural networks operator uncertainty

Editors and affiliations

  • Valentina Emilia Balas
    • 1
  • János Fodor
    • 2
  • Annamária R. Várkonyi-Kóczy
    • 3
  1. 1.”Aurel Vlaicu” University from AradAradRomania
  2. 2.Budapest Tech BudapestHungary
  3. 3.Budapest University of Technology and Economics BudapestHungary

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-00448-3
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-00447-6
  • Online ISBN 978-3-642-00448-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book