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Soft Computing Techniques in Engineering Applications

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Soft Computing Techniques in Engineering Applications Synopsis

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.

About This Edition

ISBN: 9783319375014
Publication date:
Author: Srikanta Patnaik, Baojiang Zhong
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 206 pages
Series: Studies in Computational Intelligence
Genres: Artificial intelligence
Computer vision
Cognition and cognitive psychology