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.