Optimization and Evaluation of Food System Based On BP Neural Network Model

Zihan He; Anqi Guo; Tairan Xu; Yinuo Sun; Yuanchi Sun

doi:10.18282/l-e.v10i4.2510

Zihan He Shenyang Aerospace University
Anqi Guo Shenyang Aerospace University
Tairan Xu Shenyang Aerospace University
Yinuo Sun Shenyang Aerospace University
Yuanchi Sun Shenyang Aerospace University

Article ID: 2510

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DOI: https://doi.org/10.18282/l-e.v10i4.2510

Keywords: BP neural network, Grey Model, Food System

Abstract

This article studies various factors that affect the supply of the worldâ€™s food system,establishes a mathematical model,and gives the optimized analysis results of the food system.First of all,this paper collects five types of data to study the sustainability of the world food system,using interpolation and gray forecasting models to process and predict the data.Use the BP neural network model to normalize the relationship between changes in the food system and the fairness of the food system,and predict the impact of the optimization plan on the fairness of the world food system.

References

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