Storm surge disaster evaluation model based on an artificial neural network
文献类型：CNKI期刊论文
| 作者 | Ji F(纪芳); Hou YY(侯一筠) |
| 发表日期 | 2011-09-15 |
| 出处 | Chinese Journal of Oceanology and Limnology
 |
| 关键词 | storm surge information diffusion neural network prediction model extreme tide level risk recognition |
| 英文摘要 | Back propagation is employed to forecast the current of a storm with various characteristics of storm surge; the technique is thus important in disaster forecasting. One of the most fuzzy types of information in the prediction of geological calamity is handled employing the information diffusion method. First, a single-step prediction model and neural network prediction model are employed to collect influential information used to predict the extreme tide level. Second, information is obtained using the information diffusion method, which improves the precision of risk recognition when there is insufficient information. Experiments demonstrate that the method proposed in this paper is simple and effective and provides better forecast results than other methods. Future work will focus on a more precise forecast model. |
| 文献子类 | CNKI期刊论文 |
| 资助机构 | Supported by the MISSION 908 (Nos. 908-02-03-07, SD-908-02-08) |
| 卷 | v.29期:05页:228-232 |
| 语种 | 英文; |
| 分类号 | P731.23 |
| ISSN号 | 0254-4059 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/191576]  |
| 专题 | 中国科学院海洋研究所 |
| 作者单位 | 1.InstituteofOceanology,ChineseAcademyofSciences 2.GraduateUniversityofChineseAcademyofSciences |
| 推荐引用方式 GB/T 7714 | Ji F,Hou YY. Storm surge disaster evaluation model based on an artificial neural network. 2011. |
入库方式： OAI收割
来源：海洋研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。