
Learning and Soft Computing
Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Vojislav Kecman(Author)
Bradford Books (Publisher)
Published on 8. June 2001
Book
Paperback/Softback
576 pages
978-0-262-52790-3 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Massachusetts
United States
Publishing group
MIT Press Ltd
Target group
College/higher education
Interest Age: From 18 years
Product notice
Paperback (trade)
Illustrations
268 illus.
Dimensions
Height: 229 mm
Width: 178 mm
Thickness: 31 mm
Weight
963 gr
ISBN-13
978-0-262-52790-3 (9780262527903)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Vojislav Kecman
Learning and Soft Computing
Support Vector Machines, Neural Networks and Fuzzy Logic Models
Book
06/2001
Bradford Books
€72.98
Shipment within 10-20 days
Person
Vojislav Kecman is Associate Professor in the School of Engineering at Virginia Commonwealth University.