Supervised Competition Using Joined Growing Neural Gas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F14%3A86090545" target="_blank" >RIV/61989100:27740/14:86090545 - isvavai.cz</a>
Result on the web
<a href="http://sdiwc.net/digital-library/supervised-competition-using-joined-growing-neural-gas" target="_blank" >http://sdiwc.net/digital-library/supervised-competition-using-joined-growing-neural-gas</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Supervised Competition Using Joined Growing Neural Gas
Original language description
Competitive learning is well-known method to process data. Various goals may be achieved using competi- tive learning such as classifcation or vector quantiza- tion. In this paper, we present a different insight into the principle of supervised competitive learning. An in- novative approach to the supervised self-organization is suggested. The method is based on different handling of input data labels which encode the classifcation. When the label has appropriate format then it is possible to use it within the competitive process in the same way as any input data element. Such approach is as effective as standard supervised methods and has some positive attributes such as the soft classification ability.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/EE2.3.30.0055" target="_blank" >EE2.3.30.0055: New creative teams in priorities of scientific research</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů