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

机译:改进的PSO-BP神经网络在客户流失预警中的应用。

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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.
机译:鉴于客户流失已成为企业维护和管理客户关系的突出问题,结合海量客户数据的复杂性和庞大性,提出了优化的PSO算法和BP神经网络算法相结合来建立企业客户流失预警模型,充分发挥BP神经网络的通用性。仿真结果表明该模型在分析客户分类和损失方面具有良好的应用前景。

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