Genetic programming in time series modelling:: An application to meteorological data

被引：0
|
作者：
Vázquez, KR [1 ]
机构：
[1] Univ Nacl Autonoma Mexico, IIMAS, DISCA, Mexico City 04510, DF, Mexico
来源：
PROCEEDINGS OF THE 2001 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2001年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes a genetic programming approach for applications on prediction of real meteorological data. The well-know SISO NARMAX model is used to model and forecast this real time series. The evaluation of candidate models is based on a set of criteria taken into consideration in order to get the simpler and more accurate model for prediction.
引用
收藏
页码：261 / 266
页数：6
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