计算机工程 ›› 2007, Vol. 33 ›› Issue (12): 63-64,6.doi: 10.3969/j.issn.1000-3428.2007.12.022

• 软件技术与数据库 • 上一篇    下一篇

一种基于模糊神经网络的数据挖掘算法

李良俊1,2,张 斌1,杨 明2   

  1. (1. 东北大学信息科学与工程学院,沈阳 110036;2. 鞍山师范学院计算中心,鞍山 114005)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-06-20 发布日期:2007-06-20

Data Mining Algorithm Based on Fuzzy Neural Network

LI Liangjun1,2, ZHANG Bin1, YANG Ming2   

  1. (1. School of Information Science and Eng., Northeast University, Shenyang 110036; 2. Computing Center, Anshan Normal University, Anshan 114005)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-06-20 Published:2007-06-20

摘要: 提出了一种基于模糊神经网络的数据挖掘算法,把模糊理论和神经网络结合起来构造、训练模糊神经网络,弥补了神经网络结构复杂、网络训练时间长、结果表示不易理解等不足。经过模糊神经网络的建立和训练达到精度要求,实现了运用模糊神经网络方法从数据库中提取知识的目标。

关键词: 模糊理论, 神经网络, 数据挖掘

Abstract: This paper presents a data mining algorithm based on fuzzy neural network (FNN). Using fuzzy theory and neural network to structure and train fuzzy neural network, the algorithm overcomes the shortcomings of neural network such as complex structure, long training time and lack of understandable representation of results. Establishment and training of fuzzy neural network which meet the precision requests realize the utilization fuzzy neural network method to withdraw the knowledge from the database.

Key words: Fuzzy theory, Neural network, Data mining

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