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Soft Computing in Industrial Applications (2000)

Contributor(s): Suzuki, Yukinori (Editor), Ovaska, Seppo J (Editor), Furuhashi, Takeshi (Editor), Roy, Rajkumar (Editor), Dote, Yasuhiko (Editor)

ISBN: 9781852332938

Publisher: Springer

Hardcover
$219.99
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Pub Date: March 15, 2000

Dewey: 006.3

LCCN: 00027479

Lexile Code: 0000

Features: Maps

Target Age Group: NA to NA

Physical Info: 1.44" H x 9.21" L x 6.14" W ( 2.51 lbs) 670 pages

Descriptions, Reviews, etc.

Description: This book contains recent theoretical innovations and a comprehensive collection of industrial applications in the emerging field of Soft Computing. Soft computing is a new form of artificial intelligence and it consists of four core methodologies: Fuzzy Computing, Neuro Computing, Evolutionary Computation, and Probabilistic Computing. These individual techniques are clearly complementary or synergistic rather than competitive. Therefore, it is a common practice to combine two or three methodologies when solving complex problems. Also the systematic fusion of soft computing and hard computing is a highly potential alternative to be considered. Soft computing methodologies are suitable for various real-world applications, because the available information and system knowledge are often imprecise, un- certain, or partially even incorrect. To handle such demanding conditions and obtain the required robustness with pure hard computing would typically be either very difficult or expensive. This book is a unique collection of technical articles providing a thorough overview of the state-of-the-art theory and industrial applications. The core articles on evolutionary computation, fuzzy computing, and neuro computing are of particular interest to researchers and practicing engineers.

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