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DOI10.1504/IJGW.2019.099803
Artificial intelligence-based modelling for global warming analysis incorporated with the nuclear energy productions
Woo, Tae Ho
发表日期2019
ISSN1758-2083
EISSN1758-2091
卷号17期号:4页码:389-400
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.


WOS研究方向Environmental Sciences & Ecology
来源期刊INTERNATIONAL JOURNAL OF GLOBAL WARMING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/90486
作者单位Cyber Univ Korea, Dept Mech & Control Engn, 106 Bukchon Ro, Seoul 03051, South Korea
推荐引用方式
GB/T 7714
Woo, Tae Ho. Artificial intelligence-based modelling for global warming analysis incorporated with the nuclear energy productions[J],2019,17(4):389-400.
APA Woo, Tae Ho.(2019).Artificial intelligence-based modelling for global warming analysis incorporated with the nuclear energy productions.INTERNATIONAL JOURNAL OF GLOBAL WARMING,17(4),389-400.
MLA Woo, Tae Ho."Artificial intelligence-based modelling for global warming analysis incorporated with the nuclear energy productions".INTERNATIONAL JOURNAL OF GLOBAL WARMING 17.4(2019):389-400.
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