| 基于神经网络的客户分类研究 |
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| 引用本文： | 李勇,雷娜.基于神经网络的客户分类研究[J].价值工程,2004,23(6):126-128. |
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| 作者姓名： | 李勇 雷娜 |
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| 作者单位： | 中国科学技术大学商学院 合肥230026
(李勇)，中国科学技术大学商学院 合肥230026(雷娜) |
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| 摘 要： | 汽车信贷已成为我国消费信贷业务中最重要的业务种类之一,但近年来其信用风险一直很高。本文旨在通过对学习向量量化(LV Q )人工神经网络基本理论和架构的研究,设计 LVQ 网络分类器,并结合主成分分析方法探讨对客户的分类研究,通过实证结果分析客户分类的一般性规律,对各行业客户分类应用都有重要实践指导意义。
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| 关 键 词： | 客户关系管理 神经网络 学习向量量化 主成分 分类 |
Resaerch on Customer Classification Basing on Neural Network |
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| Li Yong Lei Na.Resaerch on Customer Classification Basing on Neural Network[J].Value Engineering,2004,23(6):126-128. |
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| Authors: | Li Yong Lei Na |
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| Abstract: | The credit auto loan is the one of main credit loans in china,but it is along with high credit risk in recent years.Discussing the base theory and architecture of the learning Vector Quantization artificial neural network is what this essay mainly focused in.The demonstration of customer classification was discussed along with the principal component analysis.It would help to apply the customer classification. |
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| Keywords: | CRM neural network LVQ principal component analysis classification |
| 本文献已被 CNKI 维普 等数据库收录！ |
