Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of The China Society For Scientific and Technical Information》 2002-06
Add to Favorite Get Latest Update

An Approach of Data Mining Based on Rough Set and Neural Network

Li Renpu and Wang Zheng'ou (Institute of Systems Engineering,Tianjin University,Tianjin 300072)  
In this paper,a new method of data mining based on rough set and neural network is proposed. Based on the rough set theory,attribute reduction is processed on data under the consistent conditions. Then neural network is used to study and predict data,at the same time to reduce the attributes under the inconsistent conditions. Finally rule knowledge in the neural network is extracted by using rough set theory. The method mixes rough set's strong attribute reduction,rule extraction ability and neural network's classification,robustness ability. Experimental results show that this algorithm can produce more effective and simpler rules quickly and possesses good robustness.
【Fund】: 国家自然科学基金资助项目 (编号 :6 0 2 75 0 2 0 )
【CateGory Index】: TP183
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved