Research on Renewal Prediction of Life Insurance Policy Based on Back Propagation (BP) Neural Network

被引：0
|
作者：
Liu, Dayong [1 ]
He, Xu [2 ]
Xiao, Yan [3 ]
Wang, Xujin [4 ]
机构：
[1] Sinounited Investment Grp Corp Ltd, Postdoctoral Programme, Beijing, Peoples R China
[2] Macau Univ Sci & Technol, Sch Business, Taipa, Macao, Peoples R China
[3] Chongqing Univ Technol, Coll Mech Engn, Chongqing, Peoples R China
[4] Beijing Technol & Business Univ, Insurance Res Ctr, Beijing, Peoples R China
来源：
2022 INTERNATIONAL CONFERENCE ON BIG DATA, INFORMATION AND COMPUTER NETWORK (BDICN 2022) | 2022年
关键词：
life insurance; neural network; renewal prediction;
D O I：
10.1109/BDICN55575.2022.00128
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The renewal rate of a life insurance company is the core indicator of its valuation, which plays a crucial role in enhancing the value of the company and reflects its operation level and customer satisfaction. In this paper, the network is trained and tested by back propagation(BP) neural network using 1307 customer data with 7 characteristic input indicators. The nonlinear mapping relationship between the influencing factors and customer renewal rate is obtained through Matlab programming. When the network converges to the optimal solution, the input data is used to predict the customer renewal rate. The results show that the network is remarkable with high accuracy and can be used in practical applications to identify renewal problem customers in a targeted manner and intervene in advance to improve the renewal rate of life insurance companies.
引用
收藏
页码：664 / 668
页数：5
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