Prediction of earthquake economic losses based on BAS-ELM
In order to improve the accuracy and effectiveness of earthquake economic losses prediction,a prediction model for earthquake economic losses based on ELM optimized by BAS was proposed.Using the economic losses of destructive earthquakes from 1996 to 2014 as sample data,four influencing factors such as magnitude,epicenter intensity,population density,and per capita GDP were selected as input vectors,and direct economic losses were used as output vectors.BAS was used to optimize the model variables,thereby the influence of random variables was eliminated on the prediction results.Finally,earthquake economic loss prediction model based on BAS-ELM was established.Then BAS-ELM model was used to predict the test samples and compared with other models.The result shows that the prediction accuracy of BAS-ELM is 97.244%,which has better prediction accuracy.
万方数据
维普
