Neural networks for pattern recognition
Material type:
TextLanguage: English Language Publication details: Oxford Clarendon Press New York Oxford University Press 1995.Description: xvii, 482 p. 24 cmISBN: - 0198538499
- 0198538642
- 006.4 BIS
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| 006.312 YEN Data mining : theories, algorithms, and examples | 006.32 KOS Neural networks and fuzzy systems | 006.33 WIN Program design for knowledge based systems | 006.4 BIS Neural networks for pattern recognition | 006.42 GON Digital image processing using MATLAB | 006.42 GON Digital image processing using MATLAB | 006.42 GON Digital image processing using MATLAB |
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.
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