Machine Learning: Approaches from Neural Networks, Genetic Algorithms, and Fuzzy Systems
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Artificial Intelligence/Neural Networks Cutting-edge approaches to designing machine learning technologies ... One of the most fascinating and promising developments to emerge in the field of artificial intelligence over the past decade has been machine learning. While automatic learning is still in its infancy, enormous strides have already been made toward developing expert computing systems with an impressive degree of learning capability. This book offers in-depth coverage of the latest developments in machine learning algorithms using object-oriented programming, neural nets, genetic algorithms, and fuzzy systems. While they concentrate most heavily on neural nets, the authors describe a number of ingenious new ways of integrating neural learning models with other, fundamentally different problem-solving paradigms to create powerful hybrids that can radically improve the learning and decision-making skills of computing systems. The only book to apply neural nets, genetic algorithms, and fuzzy systems to the field of machine learning Includes many specific algorithms Presents applications in the domains of image recognition and engineering design
Format:Paperback
Language:English
ISBN:0471016330
ISBN13:9780471016335
Release Date:September 1994
Publisher:Wiley
Length:211 Pages
Weight:1.15 lbs.
Dimensions:0.9" x 6.4" x 9.6"
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