Neural Networks for Pattern Recognition - Bishop, Christopher

Neural Networks for Pattern Recognition

Christopher Bishop

Yayınevi: Oxford University Press

Yayın tarihi: 11/1995

ISBN: 9780198538646

Yazar : GEOFFREY HINTON

İngilizce | 500 Sayfa | Büyük boy  | 

Tür: Kimya-Kimya Müh.

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This is a comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perceptron and radial basis function network models. It also motivates the use of various forms of error functions, and reviews the principal algorithms for error function minimization. As well as providing a detailed discussion of learning and generalization in neural networks, the book also covers the topics of data processing, feature extraction and prior knowledge. The book concludes with an extensive treatment of Bayesian techniques and their applications to neural networks.

Table of Contents
Statistical pattern recognition
Probability density estimation
Single-layer networks
The multi-layer perceptron
Radial basis functions
Error
Parameter optimization algorithms
Pre-processing and feature extraction
Learning and generalization
Bayesian techniques

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