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

  • 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
68 Views, 11 PDF Downloads
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 world’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

[1] Mathematical modeling:Principles and methods,edited by Cai suozhang,Beijing:Ocean Press.

[2] Zhang xingyong.Matlab software and mathematical experiment,edited by ,China University of mining and Technology Press.

[3] Food and Agriculture Organization of the United Nations http://www.fao.org/faostat/zh/#data/TP.

Published
2021-12-08
How to Cite
He, Z., Guo, A., Xu, T., Sun, Y., & Sun, Y. (2021). Optimization and Evaluation of Food System Based On BP Neural Network Model. Learning & Education, 10(4), 19-21. https://doi.org/10.18282/l-e.v10i4.2510
Issue
Vol. 10 No. 4 (2021)

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