Economic forecasting using genetic algorithms

被引：0

作者：

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

页码：543 / 544

页数：2

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