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Research on the Optimization Strategy of the Low-Carbon Economic Development Model based on the BP Neural Network Model by Yufeng Zhang; Xun Tang; Jianfei Yang is a Engineering article available to read on EtoBox.

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Low-carbon economy has become a topic of great concern to the international community. Sea level rise caused by climate change, flood disasters, biodiversity reduction, global famine, and other issues have begun to threaten the normal survival of human beings, and the climate problem needs to be solved urgently. While ensuring rapid economic development, in order to better control the total amount of greenhouse gas emissions, this paper, based on the theory of low-carbon economy, takes control of total carbon emissions for low-carbon economic development, as a perspective, and selects the optimization for the development of low-carbon economy. From the aspects of structural emission reduction technology and emission reduction, a carbon emission control optimization index system for low-carbon economic development based on total carbon emission control is constructed. Under the framework of the index system, construct an optimization model for the total amount of carbon emissions in a low-carbon economy and use the BP neural network model to seek the balance point between economic development, energy consumption, and carbon emissions so as to promote the rational and scientific deve

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Author

Yufeng Zhang; Xun Tang; Jianfei Yang

Publisher

Hindawi Limited

Published

2022

Language

EN

Field

Engineering (Physical Sciences)