Neural networks for pattern recognition

Volume: 31, Issue: 10, Pages: 31 - 5500
Published: Jun 1, 1994
Abstract
From the Publisher: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modelling 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...
Paper Details
Title
Neural networks for pattern recognition
Published Date
Jun 1, 1994
Volume
31
Issue
10
Pages
31 - 5500
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