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Computational Intelligence: Principles, Techniques and Applications
 
 
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Computational Intelligence: Principles, Techniques and Applications [Hardcover]

Amit Konar (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

3540208984 978-3540208983 May 31, 2005 2005
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.

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Editorial Reviews

Review

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)

From the Back 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. A CD ROM containing the simulations is supplied with the book to enable the interested readers to develop their own application programs with the supplied C/ C++ toolbox.

Product Details

  • Hardcover: 732 pages
  • Publisher: Springer; 2005 edition (May 31, 2005)
  • Language: English
  • ISBN-10: 3540208984
  • ISBN-13: 978-3540208983
  • Product Dimensions: 9.5 x 6.4 x 1.3 inches
  • Shipping Weight: 3 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,016,668 in Books (See Top 100 in Books)

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1 of 4 people found the following review helpful:
5.0 out of 5 stars Computational Intelligence: Principles, Techniques and Applications, December 18, 2007
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M. Sordo "avid Amazon shopper" (Boston, Massachusetts United States) - See all my reviews
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This review is from: Computational Intelligence: Principles, Techniques and Applications (Hardcover)
Excellent book. I highly recommend it. Although Computational Intelligence could include almost any subject, this book is a comprehensive review of the most agreed-upon paradigms in CI. Haven't checked out the CD that comes with the book, so I cannot comment about it.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
queue growth rate, initial fuzzy beliefs, fuzzy moment descriptors, reasoning path length, weight adaptation policy, call admission control problem, limit cyclic behavior, mood detection, thermonuclear pile, chaotic liar, invariance network, fuzzy membership distributions, minimum disturbance principle, tracker robot, mapping from transitions, truth functional value, fuzzy gain, fuzzy production rules, proposed neural net, static reference frame, genetic manipulation process, belief vector, feedback layer, belief computation, goal angle
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Boca Raton, New York, Computer Vision, Englewood Cliffs, Supervised Neural Learning Algorithms, Nomad Super Scout, John Wiley, Kluwer Academic Publishers, Oxford University Press, Computer Society Press, Digital Image Processing, Jadavpur University, Neuro-dynamic Programming, San Diego, Artificial Immune Systems, Bart Kosko, Biological Cybernetics, Computational Approach, Dynamical Systems Approach, Gray Images Using Fuzzy, Judea Pearl, Name Job Salary, Nomadic Technologies, The Netherlands, Adaptive Switching Circuits
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