Neural networks for pattern recognition

Bishop, Christopher M.

Neural networks for pattern recognition - Oxford New York Clarendon Press Oxford University Press 1995. - xvii, 482 p. 24 cm.

xvii, 482 pages : illustrations ; 24 cm
Contents: 1. Statistical Pattern Recognition --
2. Probability Density Estimation --
3. Single-Layer Networks --
4. The Multi-layer Perceptron --
5. Radial Basis Functions --
6. Error Functions --
7. Parameter Optimization Algorithms --
8. Pre-processing and Feature Extraction --
9. Learning and Generalization --
10. Bayesian Techniques.

This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

0198538499 0198538642


Neural networks (Computer science)
Pattern recognition systems.

006.4