Neural network-based nonlinear prediction of reinsurance demand of the Chinese property insurance industry

Based on the analysis of reinsurance demand and China´ s economic environment, the paper establishes the BP Neural Network Model to predict analysis of Reinsurance Demand and its Determinants of the P. R. China´ s Property Insurance Industry by using data covering the period from 1997 to 2010. This method enables us to reduce the original 14 input variables to one variable. The results indicate that the BP neural network can achieve higher precision and its forecasting effect is better than other model.