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Computational Intelligence

Principles, Techniques and Applications

  • Amit┬áKonar

About this book

Introduction

The book Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of Computational Intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of Fuzzy Sets and Logic, Neural Networks, Evolutionary Computing and Belief Networks. The application areas include Fuzzy Databases, Fuzzy Control, Image Understanding, Expert Systems, Object Recognition, Criminal Investigation, Telecommunication Networks and Intelligent Robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own. Emerging areas of Computational Intelligence such as artificial life, particle swarm optimization, artificial immune systems, fuzzy chaos theory, rough sets and granular computing have also been addressed with examples in this book. The book ends with a discussion on a number of open- ended research problems in Computational Intelligence. Graduate students interested to pursue their research in this subject will greatly be benefited with these problems.

Keywords

Multi-agent system artificial life chaos theory cognition databases evolution evolutionary computation expert system machine learning neural network pattern recognition probabilistic reasoning reinforcement learning robot robotics

Authors and affiliations

  • Amit┬áKonar
    • 1
  1. 1.Artificial Intelligence Laboratory, Electronics and Tele-Communication Engineering DepartmentJadavpur UniversityCalcuttaIndia

Bibliographic information

  • DOI https://doi.org/10.1007/b138935
  • Copyright Information Springer Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-20898-3
  • Online ISBN 978-3-540-27335-6
  • Buy this book on publisher's site