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

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

CLC Number: 

• TP301.6