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Item Details
Title: STATISTICS AND NEURAL NETWORKS
ADVANCES AT THE INTERFACE
By: J. W. Kay, D.M. Titterington
Format: Hardback

List price: £57.00
Our price: £49.88
Discount:
12.5% off
You save: £7.12
ISBN 10: 0198524226
ISBN 13: 9780198524229
Availability: Usually dispatched within 1-3 weeks.
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Publisher: OXFORD UNIVERSITY PRESS
Pub. date: 10 February, 2000
Pages: 280
Description: There is currently much activity at the interface between statistics and artificial neural networks research. This involves both the transportation of modern but fairly conventional statistical ideas into the treatment of neural networks and the development, within the neural-computation community, of new approaches in a number of branches of statistics. The book will consist of a number of substantial pieces, by world leaders in this research, which will combine togive a broad overview of important current developments and likely future trends.
Synopsis: Recent years have seen a growing awareness of the interface between statistical research and recent advances in neural computing and artifical neural networks. This book covers various aspects of current work in the area, drawing together contributions from authors who are leading researchers in the two fields. Their contributions show a strong awareness of the common ground and of the advantages to be gained by taking the wider perspective. Topics covered include: nonlinear approaches to discriminant analysis; information-theoretic neural networks for unsupervised learning; Radial Basis Function networks; techniques for optimizing predictions; approaches to the analysis of latent structure, including probabalistic principal component analysis, density networks and the use of multiple latent variables; and a substantial chapter outlining techniques and their application in industrial case-studies. This research interface is currently extremely active and this volume gives an authoritative overview of the area, its current status and directions for future research.
Illustrations: 5 halftones, numerous line figures
Publication: UK
Imprint: Oxford University Press
Returns: Returnable
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