Classification of companies with assistance of self-learning neural networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F10%3A00144585" target="_blank" >RIV/62156489:43110/10:00144585 - 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
Classification of companies with assistance of self-learning neural networks
Original language description
The article is focused on rating classification of financial situation of enterprises using self-learning artificial neural networks. This is such a situation where sets of objects of particular classes are not well-known. Otherwise, it would be possibleto use a multi-layer neural network with learning according to models. The advantage of a self-learning network is particularly the fact that its classification is not burdened by a subjective view. With reference to complexity this sorting into groupsmay be very difficult even for experienced experts. The article also comprises examples which confirm the described method functionality and neural network model used. Major attention is focused on classification of agricultural companies. For this purpose financial indicators of eighty-one agricultural companies were used.
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
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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