Neural networks for pattern recognition

By:

Bishop, Christopher M

Publication details: Oxford : Oxford University Press, 1995.Edition: Indian editionDescription: xvii, 482 pages : illustrations ; 24 cmISBN:

9780195667998

Subject(s):

DDC classification:

006.4 BIS

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.

Summary: This is a 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Gratis, Gifts	IIITDM Kurnool General Stacks	Non-fiction	006.4 BIS (Browse shelf(Opens below))	Available		G000124

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 is a 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.

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