Application of DE-GWO-SVM Algorithm in Business Order Prediction Model

摘要

To judge whether customers will choose the time deposit business launched by the bank is a problem of prediction classification, and it is also a problem that bankers want to know and urgently need to solve. This paper constructs a prediction model of banking business order based on DE-GWO-SVM algorithm. The model uses Differential Evolution algorithm and Grey Wolf algorithm to optimize the Support Vector Machine, and then applies the model to the prediction of bank marketing business order, which can effectively classify and identify whether bank customers will buy the time deposit business. Finally through the model experiment and comparing the Grey Wolf algorithm for without optimization, it is concluded that the model of banking business order based on DE-GWO-SVM algorithm, at an effective prediction accuracy of 96.8%, will help Banks identify the target customer groups, carry on the accurate marketing, improve the success rate of business marketing.