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NEURAL NETWORKS FOR PATTERN RECOGNITION
  • NEURAL NETWORKS FOR PATTERN RECOGNITION

  • ISBN13:9780198538646
  • 出版社:全華經銷
  • 作者:CHRISTOPHER M. BISHOP
  • 裝訂/頁數:平裝/482頁
  • 規格:23cm*16cm (高/寬)
  • 出版日:2001/01/01
定  價:NT$1260元
優惠價: 951197
單次購買10本以上9折
可得紅利積點:35 點

無庫存,下單後進貨(採購期約4~10個工作天)

商品簡介

目次

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 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.
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
A. Symmetric Matrices
B. Gaussian Integrals
C. Lagrange Multipliers
D. Calculus of Variations
E. Principal Components
References
Index

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