中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 海洋研究所
  3. 中国科学院海洋研究所
  4. 海洋环流与波动重点实验室
Storm surge disaster evaluation model based on an artificial neural network

文献类型：期刊论文

作者Ji Fang1,2; Hou Yijun1
刊名CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
出版日期2011-09-01
卷号29期号:5页码:1142-1146
关键词Storm Surge Information Diffusion Neural Network Prediction Model Extreme Tide Level Risk Recognition
ISSN号0254-4059
DOI10.1007/s00343-011-1042-2
文献子类Article
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.; 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.
学科主题Marine & Freshwater Biology ; Oceanography
URL标识查看原文
语种英语
WOS记录号WOS:000293632500028
公开日期2012-07-03
源URL[http://ir.qdio.ac.cn/handle/337002/11608]  
专题海洋研究所_海洋环流与波动重点实验室
作者单位1.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Ji Fang,Hou Yijun. Storm surge disaster evaluation model based on an artificial neural network[J]. CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2011,29(5):1142-1146.
APA Ji Fang,&Hou Yijun.(2011).Storm surge disaster evaluation model based on an artificial neural network.CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,29(5),1142-1146.
MLA Ji Fang,et al."Storm surge disaster evaluation model based on an artificial neural network".CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY 29.5(2011):1142-1146.

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。