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Hardcover. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Paperback. Condition: Very Good.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 77.50
Quantity: Over 20 available
Add to basketCondition: New. In.
hardcover. Condition: new.
Condition: New. pp. 576.
hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. reprint edition. 576 pages. 9.00x7.00x1.25 inches. In Stock.
Seller: Mispah books, Redhill, SURRE, United Kingdom
Hardcover. Condition: Like New. Like New. book.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. 576.
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 92.63
Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 576.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Learning and Soft Computing | Support Vector Machines, Neural Networks, and Fuzzy Logic Models | Vojislav Kecman | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2001 | MIT Press | EAN 9780262527903 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. 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.