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1 Burnside Artificial Intelligence- Image Processing

Neural Networks for Pattern Recognition

by

Neural Networks for Pattern Recognition Cover

 

Synopses & Reviews

Publisher Comments:

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.

Description:

Includes biliographical references (p. [457]-475) and index.

Table of 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

A. Symmetric Matrices

B. Gaussian Integrals

C. Lagrange Multipliers

D. Calculus of Variations

E. Principal Components

References

Index

Product Details

ISBN:
9780198538646
Author:
Bishop, Chris
Publisher:
Oxford University Press, USA
Author:
Bishop, Chris
Author:
Bishop, C. M.
Author:
Bishop, Christopher M.
Author:
null, Christopher M.
Location:
Oxford :
Subject:
Computer Science
Subject:
Neural Networks
Subject:
Neural networks (computer science)
Subject:
Pattern recognition systems
Subject:
Data Processing - Optical Data Processing
Subject:
Social Aspects - Human-Computer Interaction
Subject:
Optical data processing
Subject:
Operating Systems - General
Copyright:
Series Volume:
L
Publication Date:
19960131
Binding:
TRADE PAPER
Grade Level:
College/higher education:
Language:
English
Illustrations:
161 illus.
Pages:
504
Dimensions:
9.20x6.21x1.08 in. 1.71 lbs.

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Related Subjects

Computers and Internet » Artificial Intelligence » General
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