Piecewise-Linear Neural Network - Possible Training Algorithms Efficiency Comparison

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F13%3A39896664" target="_blank" >RIV/00216275:25530/13:39896664 - 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
Piecewise-Linear Neural Network - Possible Training Algorithms Efficiency Comparison
Original language description
In this article, a benchmark of algorithms for training of piecewise-linear artificial neural networks is introduced. At first, motivation of this article is described for a special topology of the neural network is used. This topology can be advantageously used in system control design, but it is difficult problem to train it. In this article, there is described a set of possible training algorithms, these algorithms are tested and evaluated. Benchmarking data are based on real problems.
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
BC - Theory and management systems
OECD FORD branch
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
Sborník vědeckých prací Vysoké školy báňské - technické univerzity Ostrava, Řada strojní
ISSN
1210-0471
e-ISSN
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Volume of the periodical
59
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
6
Pages from-to
119-125
UT code for WoS article
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EID of the result in the Scopus database
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