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

被引：0

作者：

Wang Guizhi ^{[1
]}

Zhang Ling ^{[1
]}

Lu Ling ^{[1
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Coll Maths & Phys, Nanjing 210044, Peoples R China

来源：

RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, VOLS I AND II | 2009年

关键词：

Stepwise Regression Method; BP Neural Network; Food Security; Total Grain Production; Trainbr Algorithm;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

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.

引用

页码：1214 / 1217

页数：4

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