| Neural Networks for Pattern Recognition Contributor(s): Bishop, Christopher M. (Author) |
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ISBN: 0198538642 ISBN-13: 9780198538646 Publisher: Clarendon Press OUR PRICE: $108.90 Product Type: Paperback - Other Formats Published: January 1996 Annotation: 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 modeling 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. |
| Additional Information |
| BISAC Categories: - Computers | Optical Data Processing - Computers | Neural Networks - Computers | Human-computer Interaction (hci) |
| Dewey: 006.4 |
| LCCN: 95040465 |
| Series: Advanced Texts in Econometrics (Paperback) |
| Physical Information: 1.08" H x 6.21" W x 9.2" (1.71 lbs) 504 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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 modeling 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. |