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Modeling and predicting total number of private cars based on GEP
基于基因表达式编程的私人汽车拥有量建模和预测

Keywords: gene expression programming(GEP),total number of private cars,prediction,generalization ability
基因表达式编程
,私人汽车量,预测,泛化能力

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Abstract:

For making economic policies and controlling macro economy, it needs predict the total numbers of private cars. It is a vital role to ensure harmoniously develops the economics. Gene expression programming (GEP) is a novel evolution system and attracts many studies and attention.This paper introduced the principle of GEP, and the basic methods applied GEP to time series analysis. According to the total number of private cars from 1990 to 2007, based on GEP techniques, mined and analyzed prediction model. Illustrating from experiments, the model has a high prediction precision, and good generalization ability.

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