Description: Neural Networks for Pattern Recognition, Paperback by Bishop, Christopher M., ISBN 0198538642, ISBN-13 9780198538646, Like New Used, Free shipping in the US This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, th examines techniques for modeling probability density functions and the properties and merits of the multi-layer
perceptron and radial basis function network models. Also covered are various forms of error functions, principal algorithms for error function minimalization, learning and generalization in neural networks, and Bayesian techniques and their applications. Designed as a text, with over 100
exercises, this fully up-to-date work will benefit anyone involved in the fields of neural computation and pattern recognition.
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Book Title: Neural Networks for Pattern Recognition
Number of Pages: 504 Pages
Publication Name: Neural Networks for Pattern Recognition
Language: English
Publisher: Oxford University Press, Incorporated
Publication Year: 1996
Item Height: 1.1 in
Subject: Neural Networks, Computer Vision & Pattern Recognition
Type: Textbook
Item Weight: 26.5 Oz
Subject Area: Computers
Item Length: 9.2 in
Author: Christopher M. Bishop
Item Width: 6.1 in
Format: Uk-Trade Paper
