Storm surge disaster evaluation model based on an artificial neural network

doi:10.1007/s00343-011-1042-2

IOCAS-IR > 海洋环流与波动重点实验室

	Storm surge disaster evaluation model based on an artificial neural network
	Ji Fang 1,2; Hou Yijun 1
	2011-09-01
发表期刊	CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
ISSN	0254-4059
卷号	29 期号:5 页码:1142-1146
文章类型	Article
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.
关键词	Storm Surge Information Diffusion Neural Network Prediction Model Extreme Tide Level Risk Recognition
学科领域	Marine & Freshwater Biology ; Oceanography
DOI	10.1007/s00343-011-1042-2
URL	查看原文
收录类别	SCI
语种	英语
WOS记录号	WOS:000293632500028
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/11607
专题	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
第一作者单位	中国科学院海洋研究所
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.

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