Research Catalog

Title

A statistical approach to neural networks for pattern recognition / Robert A. Dunne.

Author

Dunne, Robert A.

Publication

Hoboken, N.J. ; Chichester : Wiley, [2007], ©2007.

Items in the Library & Off-site

Holdings

Details

Description

xvii, 268 pages : illustrations; 24 cm.

Summary

"A Statistical Approach to Neural Networks for Pattern Recognition presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models. This book aims to answer questions that arise when statisticians are first confronted with this type of model." "Thorough answers to these questions and many more are included, as well as worked examples and selected problems for the reader. Discussions on the use of MLP models with spatial and spectral data are also included."--BOOK JACKET.

Series Statement

Wiley series in computational statistics

Uniform Title

Wiley series in computational statistics.

Subject

• Perceptrons
• Neural networks (Computer science)

Bibliography (note)

• Includes bibliographical references and index.

Contents

1. Introduction -- 2. The multi-layer perceptron model -- 3. Linear discriminant analysis -- 4. Activation and penalty functions -- 5. Model fitting and evaluation -- 6. The task-based MLP -- 7. Incorporating spatial information into an MLP classifier -- 8. Influence curves for the multi-layer perceptron classifier -- 9. The sensitivity curves of the MLP classifier -- 10. A robust fitting procedure for MLP models -- 11. Smoothed weights -- 12. Translation invariance -- 13. Fixed-slope training -- App. A. Function minimization -- App. B. Maximum values of the influence curve.

ISBN

• 9780471741084 (hbk.)
• 0471741086 (hbk.)

OCLC

• ocm85829258
• 85829258
• SCSB-5359170

Owning Institutions

Columbia University Libraries