| 基于模糊神经网络的数据挖掘方法研究 |
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| 引用本文： | 潘笑,万敏.基于模糊神经网络的数据挖掘方法研究[J].微电子学与计算机,2005,22(12):48-50,54. |
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| 作者姓名： | 潘笑 万敏 |
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| 作者单位： | 武汉大学自动化系,湖北,武汉,430072 |
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| 摘 要： | 提出一种用模糊神经网络来进行数据挖掘的方法.把输入量进行模糊分类后,对神经网络进行训练,用误差反传的算法对神经网络的权值进行修正,并提出利用阀值来筛选规则,来得到有效的规则.最后通过一项实例来验证方法的有效性.
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| 关 键 词： | 数据挖掘 模糊神经网络 误差反传 规则筛选 |
| 文章编号： | 1000-7180（2005）12-048-03 |
| 收稿时间： | 2005-04-07 |
| 修稿时间： | 2005-04-07 |
Data Mining Study Based on Fuzzy Neural Networks |
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| PAN Xiao,WAN Min.Data Mining Study Based on Fuzzy Neural Networks[J].Microelectronics & Computer,2005,22(12):48-50,54. |
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| Authors: | PAN Xiao WAN Min |
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| Affiliation: | Department of Automation, Wuhan University, Wuhan 430072 China |
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| Abstract: | This paper presents a data mining method based on fuzzy neural network. After classifying the inputs by fuzzy theory, we can train the neural networks through revising the parameters with back propagation arithmetic, and get the effective rules by the use of a certain limited value. At last, an instance verifies the validity of the method. |
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| Keywords: | Data mining Fuzzy neural network Back propagation Rule extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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