A Research on the Fuzzy Risk Assessment Model of Storm Surge Disaster Based on Artificial Neural Network

Author

Ji, Fang ; Hou, Yijun

Author_Institution

Key Lab. of Ocean Circulation & Wave Motion, Chinese Acad. of Sci., Qingdao, China

fYear

2010

fDate

27-28 Nov. 2010

Firstpage

1

Lastpage

4

Abstract

In this paper, the current forecast of storm surge based on BP is adapted to deal with the characteristics of storm surge. One main kind of fuzzy information in geology calamity predicting system is solved by information diffusion method. The whole process is as follows: Firstly, influential information is collected by single step predicting model and neural network predicting model separately to predict the extreme tide level. Secondly, information diffusion method is applied to dig up information as much as possible to improve the precision of risk recognition under the condition that the information is not enough.

Keywords

backpropagation; data visualisation; disasters; geographic information systems; neural nets; regression analysis; risk management; storms; surges; weather forecasting; artificial neural network; fuzzy information; fuzzy risk assessment model; geology calamity predicting system; influential information; information diffusion method; neural network predicting model; risk recognition; single step predicting model; storm surge disaster; Artificial neural networks; Biological system modeling; Predictive models; Risk management; Storms; Surges; Tides;

fLanguage

English

Publisher

ieee

Conference_Titel

Database Technology and Applications (DBTA), 2010 2nd International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6975-8

Electronic_ISBN

978-1-4244-6977-2

Type

conf

DOI

10.1109/DBTA.2010.5658968

Filename

5658968