Soft Computing Techniques in Engineering Applications

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106,99 

Studies in Computational Intelligence 543

ISBN: 3319375016
ISBN 13: 9783319375014
Herausgeber: Srikanta Patnaik/Baojiang Zhong
Verlag: Springer Verlag GmbH
Umfang: vi, 206 S., 77 s/w Illustr., 57 farbige Illustr., 206 p. 134 illus., 57 illus. in color.
Erscheinungsdatum: 03.09.2016
Auflage: 1/2014
Produktform: Kartoniert
Einband: Kartoniert

The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.  

Artikelnummer: 9808030 Kategorie:

Beschreibung

The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.

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