跳到主要导航
跳到搜索
跳到主要内容
北京理工大学 首页
English
中文
首页
师资队伍
研究单位
科研成果
奖项
按专业知识、名称或附属进行搜索
Using Deep Learning to Fill Data Gaps in Environmental Footprint Accounting
Bu Zhao, Chenyang Shuai,
Shen Qu
, Ming Xu
*
*
此作品的通讯作者
University of Michigan, Ann Arbor
Chongqing University
科研成果
:
期刊稿件
›
文章
›
同行评审
18
引用 (Scopus)
综述
指纹
指纹
探究 'Using Deep Learning to Fill Data Gaps in Environmental Footprint Accounting' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Engineering
Deep Learning
100%
Environmental Footprint
100%
Output Table
100%
Network Model
60%
Deep Neural Network
60%
Demonstrates
20%
Applicability
20%
Output Data
20%
Carbon Footprint
20%
Computer Science
Deep Learning
100%
Input/Output
100%
Neural Network Model
37%
Deep Neural Network
37%
Term Prediction
25%
Case Study
12%
Machine Learning
12%
Chemical Engineering
Deep Learning
100%
Deep Neural Network
100%
Learning System
33%
Earth and Planetary Sciences
Carbon Footprint
100%
Machine Learning
100%
Economics, Econometrics and Finance
Input-Output Table
100%
Input-Output Model
40%
Greenhouse Gas Emissions
20%
Machine Learning
20%