Application of Improved PSO - BP Neural Network in Customer Churn Warning

作     者：Jiafa Huang Lili He 

出 版 物：《Procedia Computer Science》 

年 卷 期：2018年第131卷

页      面：1238-1246页

主　　题：Loss Warning PSO Algorithm BP Neural Network RFMT Model Information gain 

摘      要：In view of the customer turnover becoming the outstanding issues in the enterprise for maintaining and managing the customer relationship, combined with the massive customer data complex and huge, I propose a combination of optimized PSO algorithm and BP neural network algorithm to establish the enterprise customer churn warning model, giving full play to the generalization of BP neural network. The simulation results show that the model has a good application prospect for the analysis of customer classification and loss.