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100%: Vojislav Kecman: Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems) (ISBN: 9780262311151) 2001, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
92%: Vojislav Kecman: Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptiv (ISBN: 9780262112550) in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems)
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1
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems) (2001)
EN NW EB DLISBN: 9780262311151 bzw. 0262311151, in Englisch, 576 Seiten, A Bradford Book, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, ebook for download, Free shipping.
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., Kindle Edition, Edition: Reprint, Format: Kindle eBook, Label: A Bradford Book, A Bradford Book, Product group: eBooks, Published: 2001-06-08, Release date: 2001-06-08, Studio: A Bradford Book, Sales rank: 599849.
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., Kindle Edition, Edition: Reprint, Format: Kindle eBook, Label: A Bradford Book, A Bradford Book, Product group: eBooks, Published: 2001-06-08, Release date: 2001-06-08, Studio: A Bradford Book, Sales rank: 599849.
2
Learning and Soft Computing
EN NW EB DLISBN: 9780262311151 bzw. 0262311151, in Englisch, MIT Press, United States of America, neu, E-Book, elektronischer Download.
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