Запис Детальніше

Feature selection for time-series prediction in case of nondetermined estimation

Електронний архів E-archive DonNTU – (Electronic archive Donetsk National Technical University)

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Поле Співвідношення
 
Title Feature selection for time-series prediction in case of nondetermined estimation
 
Creator Khmylovyy, Sergii
Skobtsov, Yuri
 
Subject Data mining
Evolutionary computations
Forecasting
Time series
 
Description The issues of factors selection are discussed in the article for the case when estimation of a set of factors is not stochastic. Here the quality comparison of two sets of factors is only possible with some probability, and modification of existing methods is required for their correct operation. For this purpose there is a proposal of CGA Compact Genetic Algorithms utilization the scheme of factor selection being indicated. For stochastic estimation of a set of factors the step of training is updated for genetic algorithms. Results are obtained for the standard benchmarks and Internet - traffic forecasting task.
 
Date 2012-03-15T11:47:17Z
2012-03-15T11:47:17Z
2010-01-01
 
Type Article
 
Identifier Proceedings of Donetsk National Technical University
http://ea.donntu.edu.ua/handle/123456789/8831
 
Language en
 
Relation 2010.;No 1, PP 63-74.
 
Publisher Donetsk National Technical University