Knowledge Extraction with Neural Networks : Significant Patterns and their Representation in Back-Propagation Networks

Language: English

Published by LAP LAMBERT Academic Publishing, 2011

3844329412 / 9783844329414

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Recent turbulences of global economy impose strong requirements on efficiency, flexibility, and reliability of new products and services. Unfortunately, for most techniques applicable to the design of complex adaptive systems artificial neural networks, fuzzy logic, cluster analysis, etc. it is still complicated to interpret what they are actually doing especially when processing large sets of high-dimensional data. Yet understanding and correct interpretation of the knowledge extracted by the applied model represent decisive issues for the ability to detect significant, e.g. novel input patterns, to identify their characteristic features and to assess their future development. This book provides new means to handle these problems with artificial neural networks of the Back-Propagation type. Two case studies involving image classification and analysis of economical data provided by the World Bank should help shed some light on this new and exciting area, and could be useful to professionals in the field of data mining, image processing and adaptive systems, or anyone else who may be considering applying neural networks for knowledge extraction e.g. in marketing.

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Title
Knowledge Extraction with Neural Networks : Significant Patterns and their Representation in Back-Propagation Networks
Author
Iveta Mrazova
Publisher
LAP LAMBERT Academic Publishing
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3844329412
ISBN 13
9783844329414
Item weight
280 grams
Dimensions
220x150x11 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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