This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural... > Lire la suite
Plus d'un million de livres disponibles
Retrait gratuit en magasin
Livraison à domicile sous 24h/48h* * si livre disponible en stock, livraison payante
53,50 €
Expédié sous 8 à 17 jours
ou
À retirer gratuitement en magasin U entre le 9 août et le 21 août
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.