Learning & Soft Computing - Support Vector Machines, Neural Networks & Fuzzy Logic Models: Support Vector Machines, Neural Networks and Fuzzy Logic Models (Complex Adaptive Systems) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

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Detalles bibliogr�ficos

T�tulo

Learning & Soft Computing - Support Vector Machines, Neural Networks & Fuzzy Logic Models: Support Vector Machines, Neural Networks and Fuzzy Logic Models (Complex Adaptive Systems)

Editor

Fecha de publicaci�n

2001

Idioma

Ingl�s

ISBN 10

0262112558

ISBN 13

9780262112550

Encuadernaci�n

hardcover

Estado

Very Good

Cat�logos de vendedores

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Sinopsis

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

Acerca del autor

Vojislav Kecman is Professor in the School of Engineering at Virginia Commonwealth University.

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