Kontaktujte nás | Jazyk: čeština English
Název: | Comparison of nolinear system prediction by artificial neural networks |
Autor: | Sámek, David |
Typ dokumentu: | Článek ve sborníku (English) |
Zdrojový dok.: | Annals of DAAAM Symposium 2007. 2007, p. 669-670 |
ISSN: | 1726-9679 (Sherpa/RoMEO, JCR) |
ISBN: | 3-901509-58-5 |
Abstrakt: | The aim of this contribution is to provide short review of artificial neural networks that are able to predict dynamical systems. This paper deals with testing of predictive abilities of artificial neural networks. The nonlinear system output was selected as the testing signal. The signal was noised by three levels of noise in order to test the noise influence to prediction quality. The results are compared using the prediction error function |
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