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References
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Dubois, D. and Prade, H. (1980), Fuzzy Sets and Systems -
Theory and Applications, Academic Press, New York
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Dayoff, J. E. (1990), Neural Networks architecture: An
introduction, Van Nostrand Reinhold, New York
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Goldberg, D. E. (1989), Genetic Algorithms in Search,
Optimization, and Machine Learning, Addison-Wesley Publishing Company,
Inc. Reading MA.
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Recent research papers appearing in Journals such as AIEDM,
Artificial Intelligence in Engineering, Expert Systems with applications,
Neural Networks, Neural Computation. IEEE Journals etc.
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Soft Computing
Author(s): D. K. Pratihar
ISBN:
978-81-7319-866-3
Publication Year: 2007
Pages: 250
About the book
This book starts with an introduction to soft
computing, a family consisting of many members, namely Genetic Algorithms
(GAs), Fuzzy Logic (FL), Neural Networks (NNs) and others. To realize the
need for a non-traditional optimization tool like GA, one chapter is
devoted to explain the principle of traditional optimization. The working
cycle of a GA is explained in detail. The mechanisms of some specialized
GAs are then discussed with appropriate examples. Fuzzy sets are introduced
before explaining the principle of fuzzy reasoning and clustering. The
fundamentals of NNs are presented, prior to the discussion on various forms
of NN. The combined techniques, such as GA-FL, GA-NN, NN-FL and GA-FL-NN
are explained in the last three chapters.
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