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基于粗糙集和自组织神经网络的聚类方法
引用本文:段文影,朱敏.基于粗糙集和自组织神经网络的聚类方法[J].江西科学,2009,27(4):569-571,603.
作者姓名:段文影  朱敏
作者单位:南昌大学信息工程学院计算机系,江西南昌,330031
基金项目:江西省自然科学基金资助项目 
摘    要:自组织神经网络在学习过程中采取竞争机制选取最优匹配神经元获胜,然而实际情况可能有一组神经元都非常匹配输入向量。引入粗糙集的上近似与下近似理论,选择一组最匹配神经元获胜。实验证明基于粗糙集和自组织神经网络的聚类算法,较之传统的自组织神经网络聚类算法聚类结果更平均,死神经元更少,是一种良好的聚类算法。

关 键 词:自组织神经网络  粗糙集  聚类

An Improved Cluster Analysis based on Rough Set and Self-Organized Neural Network
DUAN Wen-ying,ZHU Min.An Improved Cluster Analysis based on Rough Set and Self-Organized Neural Network[J].Jiangxi Science,2009,27(4):569-571,603.
Authors:DUAN Wen-ying  ZHU Min
Institution:( Department of Computer Science, Nanchang University, Jiangxi Nanchang 330031 PRC)
Abstract:Self-organized Neural Network is learning by the competitive learning strategy which chooses the only winning neuron, but in fact there is a group of wining neurons. Rough Set which has lower approximation and an upper approximation could resolve this disadvantage. It is prove that the Self-organized neural network based on Rough Set perform better both in learning and pattern recognition.
Keywords:Self-organized neural network  Rough set  Cluste
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