| 基于RBF神经网络的客户分类模型 |
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| 引用本文： | 匡芳君,王艳华,唐贤瑛.基于RBF神经网络的客户分类模型[J].长沙理工大学学报(自然科学版),2005,2(4):70-73. |
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| 作者姓名： | 匡芳君 王艳华 唐贤瑛 |
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| 作者单位： | 长沙理工大学,计算机与通信工程学院,湖南,长沙,410076 |
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| 摘 要： | 运用径向基函数（RBF）神经网络和K均值聚类算法建立了客户价值分类模型，并用最小二乘法调整RBF的权值．仿真结果证明了该方法的有效性．
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| 关 键 词： | 客户关系管理 客户分类 径向基函数(RBF)神经网络 K均值聚类算法 最小二乘法 |
| 文章编号： | 1672-9331（2005）04-0070-04 |
| 收稿时间： | 2005-01-13 |
| 修稿时间： | 2005年1月13日 |
Customer Classifying Model Based on RBF Neural Networks |
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| KUANG Fang-jun,WANG Yan-hua,TANG Xian-ying.Customer Classifying Model Based on RBF Neural Networks[J].Journal of Changsha University of Science and Technology:Natural Science,2005,2(4):70-73. |
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| Authors: | KUANG Fang-jun WANG Yan-hua TANG Xian-ying |
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| Institution: | College of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410076, China |
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| Abstract: | Radial basis function neural network(RBFNN) and K-means clustering algorithms to set up a classifying model for customer values was adopted.And the LSM algorithms is used to adjust the weights of RBF networks.The simulation results verify the effectiveness of the proposed design method. |
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| Keywords: | customer relationship management(CRM) customer classifying RBF neural network K-means clustering algorithms least squares training method |
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