Knowledge Extraction with Neural Networks

Lieferzeit: Lieferbar innerhalb 14 Tagen

68,00 

Significant Patterns and their Representation in Back-Propagation Networks

ISBN: 3844329412
ISBN 13: 9783844329414
Autor: Mrazova, Iveta
Verlag: LAP LAMBERT Academic Publishing
Umfang: 176 S.
Erscheinungsdatum: 21.10.2011
Auflage: 1/2011
Format: 1.1 x 22 x 15
Gewicht: 280 g
Produktform: Kartoniert
Einband: KT
Artikelnummer: 1310377 Kategorie:

Beschreibung

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.

Autorenporträt

Iveta Mrázová, Ph.D.: associate professor of Computer Science at Charles University in Prague. Graduated from F. Schiller University in Jena, Germany and received her Ph.D. from the Institute of Computer Science of the Czech Academy of Sciences in Prague. Was a Fulbright fellow at Missouri University of Science and Technology in Rolla, USA.

Das könnte Ihnen auch gefallen …