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An introduction to computational intelligence paradigms
This chapter presents an introduction to computational intelligence (CI) paradigms. A number of CI definitions are first presented to provide a general concept of this new, innovative computing field. The main constituents of CI, which include artificial neural networks, fuzzy systems, and evolutionary algorithms, are explained. In addition, different hybrid CI models arisen from synergy of neural, fuzzy, and evolutionary computational paradigms are discussed.
History
Title of book
Computational intelligence paradigms : innovative applicationsSeries
Studies in Computational Intelligence; v. 137Chapter number
1Pagination
1 - 23Publisher
SpringerPlace of publication
[Berlin, Germany]ISSN
1860-949XISBN-13
9783540794745ISBN-10
3540794743Language
engPublication classification
B1.1 Book chapterCopyright notice
2008, Springer-Verlag Berlin HeidelbergExtent
12Editor/Contributor(s)
L Jain, M Sato-Ilic, M Virvou, G Tsihrintzis, V Balas, C AbeynayakeUsage metrics
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No categories selectedKeywords
computational intelligence (CI)CI definitionsneural networksfuzzy systemsevolutionary algorithmscomputational paradigmsScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Theory & MethodsComputer ScienceFUZZY NEURAL-NETWORKINFERENCE SYSTEMPATTERN-CLASSIFICATIONEVOLUTIONARY SYSTEMORGANIZATIONARCHITECTUREALGORITHMARTMAPMODEL
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