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 |
Files in This Item:
File | Description | Size | Format | |
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Khmylovy.pdf | 551,26 kB | Adobe PDF | View/Open |
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