Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback))

Bishop Christopher, M.:

ISBN 10: 0198538642 / ISBN 13: 9780198538646

Published by Oxford University Press, USA, 1996

About this Item

502 Seiten; 9780198538646.3 Gewicht in Gramm: 1. Seller Inventory # 912834

Bibliographic Details

Title: Neural Networks for Pattern Recognition (...

Publisher: Oxford University Press, USA

Publication Date: 1996

Binding: paperback

Condition: Gut

About this title

Synopsis:

The first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition.

Review:

This book provides a solid statistical foundation for neural networks from a pattern-recognition perspective. The focus is on the types of neural nets that are most widely used in practical applications, such as the multi-layer perceptron and radial basis function networks. Rather than trying to cover many different types of neural networks, Christopher Bishop thoroughly covers topics such as density estimation, error functions, parameter optimisation algorithms, data pre-processing and Bayesian methods. All topics are organised well and all mathematical foundations are explained before being applied to neural networks. The text is suitable for a graduate or advanced undergraduate level course on neural networks or for practitioners interested in applying neural networks to real-world problems. The reader is assumed to have the level of mathematical knowledge necessary for an undergraduate science degree. --Jake Bond