Logistics Amount Forecasting Based on Combined ARIMA and ANN Model

摘要：

The logistics amount of some enterprises has a dual characters of growth and seasonal fluctuation. Multiple seasonal ARIMA model has linear fitting ability and ANN has the ability of nonlinear relationship mapping. A combined forecasting model based on multiple seasonal ARIMA model and ANN model was proposed to overcome the defects of single model, and the prediction result shows that the combined forecasting model is superior to the single model in many performance aspects. Combined forecasting model offers a new effective method of logistics amount prediction.

作者: ZhangJing Zhu Jin-fu

作者单位: College of Economics and management, Nanjing University of Aeronautics and Astronautics College of Civil Aviation, Nanjing University of Aeronautics and Astronautics

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)

会议地点: 南京

会议语种:英文

页码: 594-597

在线出版日期: 2009-10-20（万方平台首次上网日期，不代表论文的发表时间）