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.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
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)
关键词
电动小巴
需求预测
BP神经网络
MATLAB
electrical minibus
demand forecasting
BP neural network
Matlab SUN Hu ： Assoc. Prof.
School of Logistics Engineering, WUT, Wuhan 430070, China.
