The Evaluation of China Life Insurance Corporation's Solvency Based on BP Neural Networks
Xie Li-ren · Caijing lilun yu shijian · 2008
It is the characteristic of self-learning,self-adaptive and efficient fault tolerant of BP neural networks that made it can be used to evaluate the life Insurance corporation's solvency.After factor analysis on financial data of China life insurance corporation,a three-level BP neural network model has been made to research and train its solvency,and evaluation has been gained.The result shows that the China life Insurance corporation's solvency is decreasing because of the absence of capital,decreasing assets quality and extensive management.Therefore,the corporation should enhance its solvency by intensive management,expending reduction and monitor function aggrandizement.