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Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models by Vojislav Kecman (VCU Engineering, Computer Science) at Abbey's Bookshop,
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
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Vojislav Kecman (VCU Engineering, Computer Science)

Learning and Soft Computing

Support Vector Machines, Neural Networks, and Fuzzy Logic Models

Vojislav Kecman (VCU Engineering, Computer Science)

$130

Paperback

Not in-store but you can order this
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English
Bradford Books
08 June 2001
Machine learning; Neural networks & fuzzy systems
Series: Learning and Soft Computing
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.
By:  
Imprint:   Bradford Books
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 178mm,  Spine: 32mm
Weight:   907g
ISBN:   9780262527903
ISBN 10:   0262527901
Series:   Learning and Soft Computing
Pages:   576
Publication Date:  
Recommended Age:   From 18 years
Audience:   College/higher education ,  Primary
Format:   Paperback
Publisher's Status:   Inactive

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

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