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DOI | 10.1504/IJGW.2019.097862 |
Global warming analysis for greenhouse gases impacts comparable to carbon-free nuclear energy using neuro-fuzzy algorithm | |
Woo, Tae Ho | |
发表日期 | 2019 |
ISSN | 1758-2083 |
EISSN | 1758-2091 |
卷号 | 17期号:2页码:219-233 |
英文摘要 | As one of energy characteristics, the importance of climate effects has been increasing due to the side-effect such as the drought, flood, heavy snow and so on. The nonlinear artificial intelligence can be reasonably applied in the analysis of the simulat |
关键词 | global warmingneuro-fuzzynuclear energyartificial intelligence |
学科领域 | Environmental Sciences |
语种 | 英语 |
WOS记录号 | WOS:000459344600005 |
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/80019 |
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. Global warming analysis for greenhouse gases impacts comparable to carbon-free nuclear energy using neuro-fuzzy algorithm[J],2019,17(2):219-233. |
APA | Woo, Tae Ho.(2019).Global warming analysis for greenhouse gases impacts comparable to carbon-free nuclear energy using neuro-fuzzy algorithm.INTERNATIONAL JOURNAL OF GLOBAL WARMING,17(2),219-233. |
MLA | Woo, Tae Ho."Global warming analysis for greenhouse gases impacts comparable to carbon-free nuclear energy using neuro-fuzzy algorithm".INTERNATIONAL JOURNAL OF GLOBAL WARMING 17.2(2019):219-233. |
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