The Prediction Model of Food Security Based on Stepwise Regression Method and BP Neural Network

摘要：

Through analysis of ten factors affecting total grain production with the method of stepwise regression analysis, the result indicates that two major factors are grain sown area and per unit area grain production .Then the BP neural network model which is established by grain sown area, per unit area grain production and total food yield has the precise prediction result. A new prediction model is provided through the combination of stepwise regression method with BP neural network for forecasting the total food yield.

关键词： Stepwise Regression Method BP Neural Network Food Security Total Grain Production Trainbr Algorithm

作者: WANG Guizhi ZHANG Ling LU Ling

作者单位: College of Maths and Physics, Nanjing University of Information Science & Technology, P.R.China, 210044

会议类型: 国际会议

会议名称: 2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)

会议地点: 青岛

会议语种:英文

页码: 1-5

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）