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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10059808" target="_blank" >RIV/00216208:11320/10:10059808 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

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

Original language description

This book provides new means for knowledge extraction with neural networks of the Back-Propagation type: to understand and interpret correctly the knowledge extracted by the network, detect significant, e.g. novel input patterns, identify their characteristic features and assess their future development. Two included case studies are devoted image classification and analysis of economical data provided by the World Bank.

Czech name

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Czech description

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Type

B - Specialist book

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/GAP103%2F10%2F0783" target="_blank" >GAP103/10/0783: Structure and its impact for recognition</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

978-3-639-20594-7

Number of pages

172

Publisher name

VDM Verlag Dr. Muller

Place of publication

Saarbrucken, Germany

UT code for WoS book

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