Environmental Assessment Model Based on the Back Propagation Neural Network

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Zhou, Dengli^1

Department of Economic Management, NORTH China ELECTRIC POWER UNIVERSITY (BAODING), Baoding

71000, China^1

关键词: Back-propagation neural networks;    Continuous development;    Ecological environments;    Economy and society;    Environmental assessment;    Environmental pollutions;    Guiding significances;    Land development projects;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/3/032105/pdf
DOI  :  10.1088/1755-1315/300/3/032105

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

With the continuous development of economy and society, the problem of environmental pollution is becoming more and more serious. However, people's demand for a better environment is increasing. Under this background, it becomes particularly important to effectively evaluate the quality of the environment. So we use the Back Propagation Neural Network(BPNN) to establish a weight model. The model mainly includes Driving force, Pressure, Status, Influences, Response indicators and has strong practicability. Subsequently, we examined the impact of land development projects on the environment and conducted an analysis of land development projects taking into account environmental costs. Finally, we use our model to evaluate the Three North Shelter Forest project. Through the evaluation, we can find that the project has greatly improved the local ecological environment, making it a great project. To sum up, the model we have established can effectively evaluate the quality of ecological balance and has certain practical guiding significance.