FROM STATISTICS TO NEURAL NETWORKS - THEORY AN PATTERN RECOGNITION APPLICATIONS - Couverture souple

Collectif

Couverture souple

ISBN 10 : 3540581995 ISBN 13 : 9783540581994

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1994

Synopsis

This volume provides a unified approach to the study of predictive learning. It contains an up-to-date review of major issues and methods related to predictive learning in statistics, artificial neural networks (ANN), and pattern recognition. Topics range from theoretical modelling and adaptive computational methods to empirical comparisons between statistical and ANN methods, and applications. Most contributions fall into one of three themes: unified framework for the study of predictive learning in statistics and ANNs; similarities and differences between statistical and ANN methods for nonparametric estimation (learning); and fundamental connections between artificial and biological learning systems.

Détails de l'édition

• Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Date d'édition: 1994
• ISBN 10: 3540581995
• ISBN 13: 9783540581994
• Reliure: Broché
• Langue: anglais
• Nombre de pages: 406