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Academic Journal of Engineering and Technology Science, 2021, 4(3); doi: 10.25236/AJETS.2021.040310.

Optimizing systems and Reducing hunger

Author(s)

Ziti Liu, Hua Cui, Peiyang Li

Corresponding Author:
Ziti Liu
Affiliation(s)

School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430070, China

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.

Keywords

AHP, EWM, back propagation, comprehensive evaluation

Cite This Paper

Ziti Liu, Hua Cui, Peiyang Li. Optimizing systems and Reducing hunger. Academic Journal of Engineering and Technology Science (2021) Vol. 4, Issue 3: 73-78. https://doi.org/10.25236/AJETS.2021.040310.

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