Learning Soft Computing Support by Kecman Vojislav (21 results)
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Condition: New. Series: Complex Adaptive Systems. Num Pages: 576 pages, 268 illus. BIC Classification: UYQN. Category: (G) General (US: Trade). Dimension: 229 x 178 x 31. Weight in Grams: 907. . 2001. Reprint. paperback. . . . .
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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.
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Condition: New. Series: Complex Adaptive Systems. Num Pages: 576 pages, 268 illus. BIC Classification: UYQN. Category: (G) General (US: Trade). Dimension: 229 x 178 x 31. Weight in Grams: 907. . 2001. Reprint. paperback. . . . . Books ship from the US and Ireland.
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Condition: New. Print on Demand pp. 576 Reprint edition NO-PA16APR2015-KAP.
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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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]lib…ri[dot]de | Anbieter: preigu Print on Demand.
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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.
