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DOI | 10.1504/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 |
ISSN | 1758-2083 |
EISSN | 1758-2091 |
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
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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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