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

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.