Please use this identifier to cite or link to this item: https://ea.donntu.edu.ua/jspui/handle/123456789/10655
Title: FEATURE SELECTION FOR TIME-SERIES PREDICTION IN CASE OF NONDETERMINED ESTIMATION
Authors: Khmylovy, S. V.
Skobtsov, Y. A.
Keywords: data mining
evolutionary computations,
forecasting
time series
Issue Date: 2010
Publisher: ДонНТУ
Citation: Proceedings of Donetsk National Technical University. No 1, 2010, 110 р.
Abstract: two sets of features can be compared just with some probability, so the existing methods should be modified. For this purpose we propose the use of Compact Genetic Algorithms (CGA) and present a scheme of feature selection. The step of genetic algorithm learning is modified for the case of stochastic estimation of a feature set. The results for Internet-traffic forecasting are obtained
URI: http://ea.donntu.edu.ua/handle/123456789/10655
Appears in Collections:No1, 2010

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