Bernstein Polynomials for Evolutionary Algebraic Prediction of Short Time Series

被引:0
|
作者
Lukoseviciute, Kristina [1 ]
Howard, Daniel [2 ]
Ragulskis, Minvydas [1 ]
机构
[1] Kaunas Univ Technol, Dept Math Modelling, Studentu 50, LT-51368 Kaunas, Lithuania
[2] Howard Sci Ltd, Malvern, Worcs, England
关键词
time series; Bernstein polynomial; forecasting;
D O I
10.1063/1.4992692
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Short time series prediction technique based on Bernstein polynomials is presented in this paper. Firstly, the straightforward Bernstein polynomial extrapolation scheme is improved by extending the interval of approximation. Secondly, the forecasting scheme is designed in the evolutionary computational setup which is based on the conciliation between the coarseness of the algebraic prediction and the smoothness of the time average prediction. Computational experiments with the test time series suggest that this time series prediction technique could be applicable for various forecasting applications.
引用
收藏
页数:4
相关论文
共 50 条