Economic Losses Research of Seismic Damage Based on Grey Correlation and Genetic Neural Network

摘要

In order to estimate the urban economic losses after earthquakes, builds the prediction model based on grey relation and genetic neural network. According to the grey correlation analysis, screens out the major factor effecting the earthquake losses as input vectors of neural network first, adopts genetic algorithm to optimize the initial weights and bias of BP network and then, solves the problem that the traditional neural network has slow convergence velocity and can not easy to get the global optimum. According to the example, we can get the model that has good forecast accuracy and convergence rate and checks the rationality and effectiveness at last.