Optimization and Evaluation of Food System Based On BP Neural Network Model
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.
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.
Keywords
BP neural network; Grey Model; Food System
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PDFReferences
[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.
DOI: https://doi.org/10.18282/l-e.v10i4.2510
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