Research on Food Security system and Optimization method based on multiple regression Analysis

Considering that the current model of world food system puts efficiency and profit first, many people still go hungry seriously pollute environment. In this paper, multiple nonlinear regression method is used to optimize existing system. Firstly, security evaluation established, global situation in recent years obtained by calculating FSSI. Then, influencing factors relationship between index various regression, on basis, fairness sustainability are same method, optimized. After analyzing countries with different standards, we have formulated a series intelligent optimization policies for them. Finally, comparing change trend before after optimization, it found optimized can reach ideal value more quickly.