Learning and Soft Computing : Support Vector Machines, Neural Networks, and Fuzzy Logic Models

Vojislav Kecman

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Language: English

Published by MIT Press, 2001

0262527901 / 9780262527903

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9780262527903

Title
Learning and Soft Computing : Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Author
Vojislav Kecman
Publisher
MIT Press
Publication year
2001
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0262527901
ISBN 13
9780262527903
Item weight
963 grams
Dimensions
229x178x31 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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