摘要
提出了一种基于模糊神经网络的数据挖掘算法.通过计算隶属函数、构造及训练模糊神经网络、网络裁减、规则提取等步骤实现该算法;通过仿真,验证了该算法的正确性.
A data mining algorithm based on fuzzy neural networks is presented. This algorithm is realized by means of obtaining membership function, constructing and training fuzzy neural network, then pruning network and extracting rules. Through a simulation example, the effectiveness of the proposed algorithm is verified.
出处
《长沙电力学院学报(自然科学版)》
2002年第4期27-30,共4页
JOurnal of Changsha University of electric Power:Natural Science
基金
湖南省教育厅科研资助项目(01C027)