Soft Computing for Hybrid Intelligent Systems

Soft Computing for Hybrid Intelligent Systems - Studies in Computational Intelligence

Softcover reprint of hardcover 1st Edition 2008

Paperback (28 Oct 2010)

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Publisher's Synopsis

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.

Book information

ISBN: 9783642089756
Publisher: Springer Berlin Heidelberg
Imprint: Springer
Pub date:
Edition: Softcover reprint of hardcover 1st Edition 2008
Language: English
Number of pages: 448
Weight: 700g
Height: 234mm
Width: 156mm
Spine width: 23mm