Optimizing systems and Reducing hunger

Abstract

Now the agricultural system is developing at a high speed, but the global food system is still lack its stability and durability. This paper proposes an evaluation model for agricultural systems to evaluate the existing global food systems based on analytic hierarchy process are used to analyze. Large and small geographical area, development and the level of food systems in developing countries were sorted, China, Britain, Haiti, Canada, India. Then, we use the BP neural network prediction model, to interpret the policy changes and propose new policy methods. Finally, the corresponding advantages and disadvantages are given by comparing the data deviation and the weight ratio of the model before and after optimization.