Establishment of Performance Evaluation Model of Highway Environmental Protection Based on Deep Learning

As the foundation of the social economic system, public transportation roads play an important role in the development of the national economy. At the same time, the opposition between public transportation roads and the natural environment, ecological environment, and natural resources is becoming...

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Bibliographic Details
Published in:Wireless communications and mobile computing 2022-04, Vol.2022, p.1-11
Main Authors: Zhu, Tao, Zhu, Shuaizhen
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Communications systems
Deep learning
Economic growth
Efficiency
Environmental impact
Environmental performance
Environmental protection
Highway construction
Machine learning
Medical research
Natural environment
Natural resources
Neural networks
Noise pollution
Performance evaluation
Public transportation
Roads
Roads & highways
Social change
Supervisors
Traffic
Water pollution
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Summary:As the foundation of the social economic system, public transportation roads play an important role in the development of the national economy. At the same time, the opposition between public transportation roads and the natural environment, ecological environment, and natural resources is becoming more and more obvious. This paper is aimed at studying the performance evaluation model of highway environmental protection based on deep learning. For this reason, related methods such as environmental protection, performance evaluation, and deep learning algorithms are proposed in the article, and corresponding experiments are also carried out in the article. The experimental results show that the highway environmental protection performance evaluation model based on deep learning can quickly help environmental supervisors to inspect the work of relevant highway environmental protection agencies and also accurately mention the environmental protection performance detection to 80%.
ISSN:1530-8669
1530-8677
DOI:10.1155/2022/5889310