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Computational Intelligence

Principles, Techniques and Applications

  • Textbook
  • © 2005

Overview

  • First text on the subject that covers all aspects of computational intelligence
  • First to provide both theory and applications of computational intelligence in a single volume in a lucid, precise and highly comprehensive style
  • Covers fundamentals such as fuzzy logic, neurocomputing, genetic algorithms and belief networks in detail and presents applications in database, expert systems, computer networks, image understanding and robotics
  • Contains many numerical examples to illustrate the concepts and homework problems with sufficient hints so that the students can solve them on their own
  • Includes supplementary material: sn.pub/extras

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Table of contents (23 chapters)

Keywords

About this 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.

Reviews

From the reviews:

Most complete book on computational intelligence.

"The book Computational Intelligence: Principles, Techniques and Applications by Dr Amit Konar provides comprehensive and excellent coverage of current topics in computational intelligence. … the book is highly suitable for use by pre-Ph.D. students, researchers, as well as practitioners in science and engineering. … The book cites numerous references at the end of each chapter." (Steve C. Chiu, International Journal of Robust and Nonlinear Control, Vol. 18, 2008)

Authors and Affiliations

  • Artificial Intelligence Laboratory, Electronics and Tele-Communication Engineering Department, Jadavpur University, Calcutta, India

    Amit Konar

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