Conţinutul numărului revistei |
Articolul precedent |
Articolul urmator |
752 1 |
SM ISO690:2012 TERZI, Dmitri. Forecasting time series with noticeable fractality. In: Studia Universitatis Moldaviae (Seria Ştiinţe Exacte şi Economice), 2014, nr. 2(72), pp. 239-243. ISSN 1857-2073. |
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Studia Universitatis Moldaviae (Seria Ştiinţe Exacte şi Economice) | ||||||
Numărul 2(72) / 2014 / ISSN 1857-2073 /ISSNe 2345-1033 | ||||||
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Pag. 239-243 | ||||||
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The article considers the main stages of forecasting by neural networks, opportunities and benefits of their use for prediction of time series with a visible fractality. In the examples predictability is determined by the R/S-analysis and can be used to select an appropriate prediction method, including the method of neural networks. |
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Cuvinte-cheie Artificial Neural Networks, methods of forecasting, predictability, R/S analysis, training samples, sliding window, persistent value. |
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