Non-Fiction Books:

Statistics and Neural Networks

Advances at the Interface

Format

Hardback

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Statistics and Neural Networks by J.W. Kay
$425.99
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Description

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.
Release date NZ
December 1st, 1999
Country of Publication
United Kingdom
Illustrations
5 halftones, numerous line figures
Imprint
Oxford University Press
Pages
280
Dimensions
161x241x21
ISBN-13
9780198524229
Product ID
2247613

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