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Computational Intelligence: Principles, Techniques and Applications

Computational Intelligence: Principles, Techniques and Applications

Computational Intelligence: Principles, Techniques and Applications
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Computational Intelligence: Principles, Techniques and Applications Hardback - 2005

by Konar, Amit

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Springer, 2005-03-30. 2005. hardcover. New. 6.50x1.50x9.50. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Computational Intelligence: Principles, Techniques and Applications
  • Author Konar, Amit
  • Binding Hardback
  • Edition 2005
  • Condition New
  • Pages 708
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2005-03-30
  • Bookseller's Inventory # DADAX3540208984
  • ISBN 9783540208983 / 3540208984
  • Weight 2.64 lbs (1.20 kg)
  • Dimensions 9.25 x 6.1 x 1.56 in (23.50 x 15.49 x 3.96 cm)
  • Size 6.50x1.50x9.50
  • Category Mathematics
  • Library of Congress Catalogue Number 2004117176
  • Dewey Decimal Code 006.3
  • Quantity available 1

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Reader reviews for Computational Intelligence: Principles, Techniques and Applications

From the publisher

Computational Intelligence: Principles, Techniques and Applications comprehensively presents both theories and applications of computational intelligence in clear and precise language. This reference and 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, telecommunications and robots. It 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, et al. are treated with examples in this book.

From the rear cover

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.
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