Economic forecasting using genetic algorithms

被引：0
|
作者：
Agapie, A [1 ]
Agapie, A [1 ]
机构：
[1] Inst Econ Forecasting, Bucharest, Romania
[2] Natl Inst Microtechnol, Bucharest, Romania
来源：
COMPUTATIONAL INTELLIGENCE: THEORY AND APPLICATIONS | 1997年 / 1226卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
When one deals with short-length, non-stationary time series with seasonal components, the statistical procedures of forecasting or even the neural networks prove to be unsatisfactory. We propose in this paper a Genetic Algorithm method for finding the optimal parameters involved in the classical Holt-Winters model of time series forecasting.
引用
收藏
页码：543 / 544
页数：2
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