Prediction on bulk grain logistics demand in Fujian based on BP neural network
Grain logistics is an important logistical support of national economic development.For a long time, grain logistics in China more use the way of package transport which is inefficient and wasteful.In recent years, China gradually began to carry out the transport way in four bulks mode around, and achieved some success.This paper combines the method of quantitative and qualitative and predict the amount of bulk grain logistics through waterway in Fujian next two years.Based on the multiple indicator selection, the paper establishes BP neural network prediction model and use MATLAB for quantify achieve.Comparison with the results , the paper could provide some useful advises for future four bulks mode engineering.
grain logistics prediction of logistics amount four bulks mode BP neural network
Chong YE Meng-ting HUANG
Institute of economy & Management, Fuzhou University, Fuzhou, China
国际会议
The 5th International Conference on Logistics and Supply Chain Management 2015(第五届物流工程与供应链管理国际研讨会)
长沙
英文
19-25
2015-12-01（万方平台首次上网日期，不代表论文的发表时间）