Pattern recognition and system adaptation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F11%3AA13014MJ" target="_blank" >RIV/61988987:17310/11:A13014MJ - 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
Pattern recognition and system adaptation
Original language description
In this paper we would like to introduce the pattern recognition approach based on neural networks. Patterns are an effective way to describe system?s behaviours because we do not need to cover it every moment but we only search for certain patterns thatappear from time to time. There are many ways how to recognize a pattern. In this study we use neural networks to do the job. Based on the pattern we recognize, it is possible to expect system's behaviour and adapt our acting desired way. There are manyproblems related to our research so in this paper we will concentrate on pattern recognition part mainly and present our current pattern recognition utility written in Java language and based on neural networks.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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