基于BP神经网络的电动小巴需求预测  

Forecasting of Electrical Minibus Demand Based on BP Neural Network

作　　者：孙虎[1] 徐林伟[1] 

机构地区：[1]武汉理工大学物流工程学院,湖北武汉430063

出　　处：《武汉理工大学学报（信息与管理工程版）》2009年第1期91-93,116,共4页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：国家863基金资助项目(2007AA11A126)

摘　　要：运用神经网络理论,建立了基于BP神经网络的多变量非线性预测模型,并通过实例分析,验证了该模型的科学性和准确性。最后将该模型应用于武汉市电动小巴需求预测,取得了满意的结果,较好地解决了电动小巴在新建社区合理配置的难题。With the theory＂ and technique of artificial neural network, a multi - variable and non - linear forecast model was established based on BP neural network. The model was validated An empirical analysis was made to validate the scientific essence and accuracy of the model. The application of the model to the forecast of the electric minibus demand of new communities in Wuhan proved to be satisfactory. It has partly solved the problems on how to optimize the configuration of electric minibus in new communities.

关 键 词：电动小巴 需求预测 BP神经网络 MATLAB 

分 类 号：F224[经济管理—国民经济]