| 基于BP神经网络的ETC系统客户的流失分析研究 |
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| 引用本文： | 刁洪祥,刘伟铭.基于BP神经网络的ETC系统客户的流失分析研究[J].企业技术开发,2006,25(9):34-36. |
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| 作者姓名： | 刁洪祥 刘伟铭 |
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| 作者单位： | 湖南农业大学信息科学技术学院 湖南长沙410128(刁洪祥)，华南理工大学交通学院 广东广州510641(刘伟铭) |
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| 摘 要： | 文章应用神经网络数据分析技术研究ETC系统客户流失的状况,详细研究了如何建立ETC系统客户流失基本模型。通过对客户的基本数据进行神经网络预测,可以发现描述流失客户基本特征的属性值集合以及对应的是否流失的结论。文章给出的是改进的神经网络的预测方法,可提高BP神经网络的收敛速度,增强网络的泛化能力,获得了很好的效果。
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| 关 键 词： | 神经网络 流失分析 客户关系管理 电子收费 |
| 文章编号： | 1006-8937（2006）09-0034-03 |
| 收稿时间： | 2006-06-19 |
| 修稿时间： | 2006年6月19日 |
Research on churn analysis of ETC system customer based on BP neural network |
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| DIAO Hong-xiang,LIU Wei-ming.Research on churn analysis of ETC system customer based on BP neural network[J].Technological Development of Enterprise,2006,25(9):34-36. |
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| Authors: | DIAO Hong-xiang LIU Wei-ming |
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| Institution: | 1. College of Information Science, Hunan Agricultural University, Changsha, Hunan 410128, China; 2. College of Transportation, South China University of Technology, 6uangzhou, Guangdong 510641, China |
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| Abstract: | The authors research churn analysis of ETC system customer based on neural network data analysis technology in this paper, and describe particularly how to establish basic churn model of ETC system customer. The authors can find attribute set of churn customer's basis character and the conclusion that whether or not churn by implementing neural network forecast on the basis data of customer. The authors adopt a modified forecast method of neural network, which improves convergent speed, strengthens extensive ability of BP neural network and gains a good effect. |
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| Keywords: | neural network churn analysis customer relationship management ETC |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
