摘要
生态环境是影响我国经济发展的重要组成部分,环保督察工作的艰巨程度可想而知。近年来,深度学习技术为环保督察工作提供了有利条件,成为多个学科领域的热门研究项目。本文将主要针对深度学习技术在环保督查工作中的算法使用、具体应用以及改进建议进行论述,以供参考。
Ecological environment is an important part of China's economic development,and the difficulty of environmental protection supervision can be imagined. In recent years,in-depth learning technology has provided favorable conditions for environmental protection inspectors and has become a popular research project in many disciplines.This paper will mainly focus on the deep learning technology in the Environmental Protection inspection of the use of algorithms,specific applications and suggestions for improvement for reference.
作者
檀英华
Tan Yinghua(Dongzhi County Environmental Monitoring Station ,Bengbu Anhui 247200,China)
出处
《环境与发展》
2019年第6期205-206,共2页
Environment & Development
关键词
深度学习技术
环保督查工作
应用探究
In-depth learning techniques
Environmental supervision
Applied exploration
