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Soft Computing for Hybrid Intelligent Systems by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (Hardback, 2008)

We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. The second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. The third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

Publisher
Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg, Springer-Verlag Berlin and Heidelberg Gmbh & Co. K
ISBN-10
3540708111
ISBN-13
9783540708117
eBay Product ID (ePID)
105865303

Place of Publication
Berlin
Spine
25mm
Edited by
Oscar Castillo, Witold Pedrycz, Janusz Kacprzyk, Patricia Melin
Series Part/Volume Number
V. 154
Series Title
Studies in Computational Intelligence
Content Note
385 Black & White Illustrations, 73 Black & White Tables, Biography
Date of Publication
25/08/2008
Genre
Computing: Professional & Programming
Country of Publication
Germany

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