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Nature Environmental Protection, 2023, 4(1); doi: 10.38007/NEP.2023.040108.

Coupling Dynamic Model of Natural Environment Protection and Environmental Pollution Based on Machine Learning


Herrera Victor

Corresponding Author:
Herrera Victor

University of Sulimanyah Univ Sulaimani, Iraq


As artificial intelligence develops, Machine Learning (ML) has gained more development opportunities. In the ecological field, the application of ML to Natural Environment Protection (hereinafter referred to as NEP) and Environmental Pollution (hereinafter referred to as EP) is currently a relatively hot field, which has been studied by many scholars. In order to explore the relationship between NEP and EP, this article constructed a Coupling Dynamic Model (hereinafter referred to as CDM) of NEP and EP based on ML through discussing ML and dynamic model. The model could reveal the stability of the positive balance of the natural ecosystem. Compared with the traditional way of building the dynamic model, the positive equilibrium stability values of the dynamic model in this method were controlled between 0.5 and 1.5. Its peak value changed less and its stability was better. This paper analyzed the relationship between natural environmental protection and EP by optimizing and innovating the dynamic model, thus providing more basis for the sustainable development of ecology.


Coupling Dynamics Model, Machine Learning, Natural Environment Protection, Natural Environment Pollution

Cite This Paper

Herrera Victor. Coupling Dynamic Model of Natural Environment Protection and Environmental Pollution Based on Machine Learning. Nature Environmental Protection (2023), Vol. 4, Issue 1: 70-77. https://doi.org/10.38007/NEP.2023.040108.


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