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Nature-Inspired Design of Hybrid Intelligent Systems (Softcover reprint of the original 1st ed. 2017)

Castillo, Oscar(Edited by)Kacprzyk, Janusz(Edited by)Melin, Patricia(Edited by)
Part of the Studies in Computational Intelligence series
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This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems.

The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems.

The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition.

The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms.

In turn, the fifth part investigates applications of fuzzy logic indiverse areas, such as time series prediction and pattern recognition.

The sixth part examines new optimization algorithms and their applications.

Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.

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RRP £179.99
Product Details
3319836501 / 9783319836508
Paperback / softback
006.3
05/07/2018
Switzerland
838 pages, 258 Illustrations, color; 132 Illustrations, black and white; XII, 838 p. 390 illus., 258
155 x 235 mm