Classification and Learning Using Genetic Algorithms

Applications in Bioinformatics and Web Intelligence

  • Sanghamitra Bandyopadhyay
  • Sankar K. Pal

Part of the Natural Computing Series book series (NCS)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Pages 1-18
  3. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Pages 19-51
  4. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Pages 53-80
  5. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Pages 81-107
  6. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Pages 109-137
  7. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Pages 139-157
  8. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Pages 159-180
  9. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Pages 181-212
  10. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Pages 213-241
  11. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Pages 243-276
  12. Back Matter
    Pages 277-311

About this book

Introduction

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains.

This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit.

Keywords

Bioinformatics DOM Evolutionary computation Machine learning Pattern recognition Variable Web mining algorithms classification cognition data mining electrical engineering genetic algorithms intelligence learning

Authors and affiliations

  • Sanghamitra Bandyopadhyay
    • 1
  • Sankar K. Pal
    • 2
  1. 1.Machine Intelligence UnitIndian Statistical Institute203 Barrackpore Trunk RoadIndia
  2. 2.Machine Intelligence UnitIndian Statistical Institute203 Barrackpore Trunk RoadIndia

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-49607-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-49606-9
  • Online ISBN 978-3-540-49607-6
  • Series Print ISSN 1619-7127
  • About this book