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基于模糊神经网络进行数据挖掘的一种算法
引用本文:崔兆顺,汪志农. 基于模糊神经网络进行数据挖掘的一种算法[J]. 兰州理工大学学报, 2007, 33(3): 112-115
作者姓名:崔兆顺  汪志农
作者单位:西北农林科技大学,信息工程学院,陕西,杨凌,712100;西北农林科技大学,信息工程学院,陕西,杨凌,712100
基金项目:甘肃省科技攻关项目(2GS044-AS2-011-28)
摘    要:通过对模糊神经网络和训练样本的构造,训练模糊神经网络使其达到一定的精度要求后,对网络进行裁剪.在网络隐层的激活和聚类后,提取规则的步骤,从而实现在数据库中获取有效知识的目的,并在应用中进行了仿真,验证了算法的有效性.

关 键 词:模糊神经网络  数据挖掘  规则提取  裁剪  聚类
文章编号:1673-5196(2007)03-0112-04
修稿时间:2006-07-18

An algorithm of data mining with fuzzy neural network
CUI Zhao-shun,WANG Zhi-nong. An algorithm of data mining with fuzzy neural network[J]. Journal of Lanzhou University of Technology, 2007, 33(3): 112-115
Authors:CUI Zhao-shun  WANG Zhi-nong
Affiliation:College of Information Engineering, Northwest A ~- F University, Yanqgling 712100, China
Abstract:By means of constructing fuzzy neural network and training specimen and training the fuzzy neural network to meet the requirement of a certain accuracy,the network was pruned.After the activation and clustering of the hidden layers in the network,the rule sequence was extracted so that the goal of getting effective knowledge from data-base could be realized.The algorithm presented was simulated during its application and proved to be effective.
Keywords:fuzzy neural network  data mining  rule extraction  pruning  clustering  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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