Title :
Rural Logistics Demand Forecasting Based on the BP Neural Network Method
Author :
Zhang Yun ; Shang Lingyun
Author_Institution :
Manage. Dept., Chong Qing Jiao Tong Univ., Chongqing, China
Abstract :
Rural logistics development is relatively weak. Based on the logistics demand forecasting problems which appear in the rural logistics development, this paper puts forward the method of BP neural network to apply to analyze the countryside logistics demand forecasting, and then takes the countryside in Chongqing as an example.
Keywords :
backpropagation; demand forecasting; logistics; BP neural network; demand forecasting method; rural logistics development; Aggregates; Demand forecasting; Logistics; Mathematical model; Predictive models; Training;
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
DOI :
10.1109/ICMSS.2011.5998305
