摘要
传统的预测建模方法通常只适用于求解结构简单的多项式函数,针对公路运输货运量受多种因素的影响,使得现有的一些预测方法预测精度不高的问题,应用基因表达式编程建立了公路运输货运量预测模型。该算法具有简便、易于操作,并且其搜索空间广阔,函数复杂度高等特点。通过对实验结果的分析,表明此模型具有较好的预测效果。
Many traditional methods in the field of forecasting are applied only to solve simple polynomial functions. Adopting gene expression programming（GEP）, proposes the forecasting model for highway transport freight according to the factors related to the highway transport freight. The algorithm is simple and easy to operate which searches functions in the great space and can be used to solve the modeling of the complex functians.Experiments show that the output values of prediction using GEP algorithms are more near the actual values.
出处
《现代计算机》
2009年第6期87-89,共3页
Modern Computer
基金
怀化学院科研基金资助(No.HHUY2008-18)
关键词
基因表达式编程
公路货运量
预测
Gene Expression Programming
Highway Freight
Forecast
