Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition

By: Christopher M. Bishop (author), Geoffrey Hinton (foreword_author)Paperback

Up to 2 WeeksUsually despatched within 2 weeks

£49.50 RRP £55.00  You save £5.50 (10%) With FREE Saver Delivery


This book provides the first 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 important 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.


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

Product Details

  • ISBN13: 9780198538646
  • Format: Paperback
  • Number Of Pages: 504
  • ID: 9780198538646
  • weight: 751
  • ISBN10: 0198538642

Delivery Information

  • Saver Delivery: Yes
  • 1st Class Delivery: Yes
  • Courier Delivery: Yes
  • Store Delivery: Yes

Prices are for internet purchases only. Prices and availability in WHSmith Stores may vary significantly