Computational Intelligence Paradigms - Innovative Applications (Paperback, Softcover reprint of hardcover 1st ed. 2008)

System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust. The book includes a sample of research on the innovative applications of advanced computational intelligence paradigms. The characteristics of computational intelligence paradigms such as learning, generalization based on learned knowledge, knowledge extraction from imprecise and incomplete data are the extremely important for the implementation of intelligent machines. The chapters include architectures of computational intelligence paradigms, knowledge discovery, pattern classification, clusters, support vector machines and gene linkage analysis. We believe that the research on computational intelligence will simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 137
Release date:	November 2010
First published:	2008
Editors:	Mika Sato-Ilic • Maria Virvou • George A. Tsihrintzis • Valentina Emilia Balas • Canicious Abeynayake
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	281
Edition:	Softcover reprint of hardcover 1st ed. 2008
ISBN-13:	978-3-642-09839-0
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-09839-8
Barcode:	9783642098390

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