The combination forecasting model based on time series analysis andartificial neural network

摘要：

Based on the ARIMA model, Residual Auto-Regressive model and BP natural network, a combination forecasting model is established by using of growth data of the per capital GDP of Shanxi province which is applied to forecast the per capital GDP of Shanxi province. The forecasting results show that the combination forecasting model is better than the other three single forecasting models.

关键词： ARIMA model BP neural network the combination forecasting model

作者: Shuhua Wang Rui Shan Donglian Gao Jinghui Gao

作者单位: College of Science,Yanshan University,Qinhuangdao 066004, China College of Science,Yanshan University, Qinhuangdao 066004,China

会议类型: 国际会议

会议名称: The 5th International Congress on Mathematical Biology(第五届国际生物数学大会 ICMB 2011)

会议地点: 南京

会议语种:英文

页码: 485-490

在线出版日期: 2011-06-01（万方平台首次上网日期，不代表论文的发表时间）