Overview
- Well structured preseantion of the basic concepts of Artificial Neural Networks, Fuzzy Inference Systems and Evolutionary Algorithms that enable better understanding of problem solving using Soft Computing
- Explores the various hybrid approaches one by one
- Discusses the important traditional and modern evolutionary approaches
Part of the book series: Studies in Computational Intelligence (SCI, volume 307)
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Keywords
Table of contents (21 chapters)
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Hybrid Computing
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Hybrid Intelligent Systems
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Other Supplementary Topics
Authors and Affiliations
Bibliographic Information
Book Title: Towards Hybrid and Adaptive Computing
Book Subtitle: A Perspective
Authors: Anupam Shukla, Ritu Tiwari, Rahul Kala
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-14344-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-14343-4Published: 18 August 2010
Softcover ISBN: 978-3-642-26442-9Published: 13 October 2012
eBook ISBN: 978-3-642-14344-1Published: 18 September 2010
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXIV, 460
Number of Illustrations: 139 b/w illustrations, 3 illustrations in colour