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.
Vojislav Kecman is Professor in the School of Engineering at Virginia Commonwealth University.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
EUR 3,55 für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerEUR 14,17 für den Versand von Vereinigtes Königreich nach USA
Versandziele, Kosten & DauerAnbieter: Books From California, Simi Valley, CA, USA
Paperback. Zustand: Very Good. Artikel-Nr. mon0003110776
Anzahl: 1 verfügbar
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Artikel-Nr. ria9780262527903_new
Anzahl: Mehr als 20 verfügbar