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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
 |
| 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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