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Computational intelligence : a methodological introduction

Author: Rudolf KruseChristian BorgeltF KlawonnChristian MoewesMatthias SteinbrecherAll authors
Publisher: London ; New York : Springer, ©2013.
Series: Texts in computer science.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Computational intelligence (CI) encompasses a range of nature-inspired methods that exhibit intelligent behavior in complex environments. This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all that is necessary for the successful application of CI methods, the book describes fundamental concepts and their  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Rudolf Kruse; Christian Borgelt; F Klawonn; Christian Moewes; Matthias Steinbrecher; Pascal Held
ISBN: 9781447158493 1447158490 9781447150121 1447150120
OCLC Number: 909600790
Description: xi, 490 pages : illustrations ; 24 cm.
Contents: Part I. Neural Networks. Introduction --
Threshold Logic Units --
General Neural Networks --
Multi-Layer Perceptrons --
Radial Basis Function Networks --
Self-organizing Maps --
Hopfield Networks --
Recurrent Networks --
Mathematical Remarks --
Part II. Evolutionary Algorithms. Introduction to Evolutionary Algorithms --
Elements of Evolutionary Algorithms --
Fundamental Evolutionary Algorithms --
Special Applications and Techniques --
Part III. Fuzzy Systems. Fuzzy Sets and Fuzzy Logic --
The Extension Principle --
Fuzzy Relations --
Similarity Relations --
Fuzzy Control --
Fuzzy Clustering --
Part IV. Bayes Networks. Introduction to Bayes Networks --
Elements of Probability and Graph Theory --
Decompositions --
Evidence Propagation --
Learning Graphical Models.
Series Title: Texts in computer science.
Responsibility: Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held.

Abstract:

This classroom-tested book discusses artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networks, covering ant colony optimization and probabilistic graphical models.  Read more...

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From the reviews: "This book teaches computational intelligence (CI) in a thorough, methodological manner that is theoretically profound and educationally oriented. ... this book is well designed for Read more...

 
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