globalchange  > 气候减缓与适应
DOI: 10.1504/IJGW.2019.099803
WOS记录号: WOS:000468769100004
论文题名:
Artificial intelligence-based modelling for global warming analysis incorporated with the nuclear energy productions
作者: Woo, Tae Ho
通讯作者: Woo, Tae Ho
刊名: INTERNATIONAL JOURNAL OF GLOBAL WARMING
ISSN: 1758-2083
EISSN: 1758-2091
出版年: 2019
卷: 17, 期:4, 页码:389-400
语种: 英语
英文关键词: global warming ; nuclear energy ; artificial intelligence ; complex
WOS学科分类: Environmental Sciences
WOS研究方向: Environmental Sciences & Ecology
英文摘要:

For future estimation of energy industry, the machine learning is used for the reliability of the nuclear energy productions where the game theory is incorporated with neural networking algorithm. As a major non-carbon production energy source, the nuclear power would be developed with the regeneration energy instead of the fossil fuels such as oil or gas. That is, the nuclear energy could mitigate the global warming which has been produced by the carbon-based fuels. In the graph, the slope is flatted from 100th to 350th month. In addition, it jumps up around 730th and 950th months. It is necessary to enhance the nuclear technology to the higher level as much as the cheaper and easier production energy source to the public in our society.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125585
Appears in Collections:气候减缓与适应

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作者单位: Cyber Univ Korea, Dept Mech & Control Engn, 106 Bukchon Ro, Seoul 03051, South Korea

Recommended Citation:
Woo, Tae Ho. Artificial intelligence-based modelling for global warming analysis incorporated with the nuclear energy productions[J]. INTERNATIONAL JOURNAL OF GLOBAL WARMING,2019-01-01,17(4):389-400
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