Pattern Recognition Using Neural Networks : Theory and Algorithms for Engineers and Scientists

Looney, Carl G.

ISBN 10: 0195079205 / ISBN 13: 9780195079203

Edité par Oxford University Press, 1997

Unread book in perfect condition. N° de réf. du vendeur 73690

Synopsis :

Pattern Regcognition with Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks from an algorithmic approach. The author has written a real-world practical "why-and-how" text that provides a refreshing contrast to competing texts' thoeretical appraoch and "pie-in-the-sky" claims. The text explores mulitple layered preceptrons and describes network types such as functional link, radial basis function, learning vector quantanization and self-organizing. The author also discusses recent clustering methods. This text is suitable for an advanced undergraduate course in pattern recognition or neural networks, and is also useful as a reference and a resource.

Présentation de l'éditeur: Pattern Regcognition with Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks from an algorithmic approach. The author has written a real-world practical "why-and-how" text that provides a refreshing contrast to competing texts' thoeretical appraoch and "pie-in-the-sky" claims. The text explores mulitple layered preceptrons and describes network types such as functional link, radial basis function, learning vector quantanization and self-organizing. The author also discusses recent clustering methods. This text is suitable for an advanced undergraduate course in pattern recognition or neural networks, and is also useful as a reference and a resource.

Détails bibliographiques

Titre : Pattern Recognition Using Neural Networks : ...
Éditeur : Oxford University Press
Date d'édition : 1997
Reliure : Couverture rigide
Etat : As New