Abstract：Storm surge is one of the most devastating coastal disasters in China's coastal areas.In recent years economic losses of storm surge accounted for more than 90 percent of the total loss of marine disasters.Therefore,it is very important to develop a simple and accurate projection and assessment model.On the basis of the existing storm surge disaster the BP neural network model based on the optimization of beetle antennae search algorithm is established, and apply it to the prediction of economic damage of storm surge.This paper collected data of 29 storm surge disasters in Fujian province from 1994 to 2016.The evaluation index system of storm surge disaster is established and the index factors are preprocessed by entropy method to eliminate redundancy information.The simulation results show that compared with the standard BP neural network,the new model effectively avoids the possibility of network getting into local minimum,and compared with the conventional optimization algorithm,the disadvantages of long training time and slow convergence speed are overcome.The BAS-BP model performs more robust and accurate.
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