基于改进GA-BP的移动通信用户流失预测算法.

A customer churn prediction model based on BP neural network(BPNN)has achieved well enough results. However， it has relatively weak global search ability and is very sensitive to the initial network weights. A prediction algorithm based on improved genetic algorithm(IGA)and BPNN(IGA-BP)is proposed by analyzing users’communication behavior， where the weights and thresholds of BPNN are initialized with IGA， thus improving the accuracy of the prediction model. The improved algorithm adopts a self-adapting probability of crossover and mutation， which enhances the global optimum search ability of GA. The proposed IGA-BP model has obvious improvement on customer churn prediction， compared with existing algorithms. [ABSTRACT FROM AUTHOR]