| 一种基于Kohonen神经网络Web用户行为模式的挖掘方法 |
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| 引用本文： | 朱敏,段隆振,王靓明.一种基于Kohonen神经网络Web用户行为模式的挖掘方法[J].南昌大学学报(理科版),2009,33(6):1. |
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| 作者姓名： | 朱敏 段隆振 王靓明 |
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| 作者单位： | 南昌大学计算机科学与技术系； |
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| 基金项目： | 江西省自然科学基金资助项目 |
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| 摘 要： | 根据Kohonen自组织特征映射神经网络中学习阶段的性质,对标准Kohonen神经网络进行了改进,通过选取不同的学习率和邻域函数,将学习阶段分为粗调整学习和微调整学习二个阶段,使Kohonen神经网络的训练速度和收敛效果有一定程度的提高,改善了聚类效果。同时在Kohonen神经网络的输出
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| 关 键 词： | 用户行为模式 聚类 Kohonen神经网络 Web挖掘 |
A Way of Kohonen Neural Network Based Model for User Behavior Pattern Mining |
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| ZHU Min,DUAN Long-zhen,WANG Liang-ming.A Way of Kohonen Neural Network Based Model for User Behavior Pattern Mining[J].Journal of Nanchang University(Natural Science),2009,33(6):1. |
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| Authors: | ZHU Min DUAN Long-zhen WANG Liang-ming |
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| Abstract: | According to the Kohonen self-organizing feature map neural network in the nature of the learning stage,the studying will be divided into two stages by choosing a different learning rate and neighborhood function: rough adjustment studying and micro-adjustment studying.It leads to improve the results from Kohonen Neural network convergence and the clustering accuracy,and provides a workable solution for a variety of users interesting in customers mining. |
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| Keywords: | web mining user behavior patterns clustering kohonen neural network |
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