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Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications (2018)

Contributor(s): Castillo, Oscar (Editor), Melin, Patricia (Editor), Kacprzyk, Janusz (Editor)

ISBN: 9783319710075

Publisher: Springer

Hardcover
$219.99
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Pub Date: January 19, 2018

Dewey: 006.3

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 1.19" H x 9.21" L x 6.14" W ( 2.10 lbs) 546 pages

Series: Studies in Computational Intelligence

Descriptions, Reviews, etc.

Description:

Describes recent advances and applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems

Covers theoretical aspects as well as applications, organized into seven main parts

Comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas

Review Quotes:

"The book may be useful for scholars trying to identify research topics related to areas such as fuzzy logic, neural networks, and optimization. Many interesting real-world applications greatly enhance the utility of the book. The editors have done a good job of bringing related topics together under various headings." (S. V. Nagaraj, Computing Reviews, January, 2019)

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