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《Chinese Journal of Scientific Instrument》 2003-01
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The Hierarchical Classification Method Based on the Rough Set Theory and BP Neural Network

Qiao Bin Guo Zhijiang Jiang Jingping (College of Electric Engineering, Zhejiang University, Hangzhou 310027,China)  
According to the hierarchical principle, a classification method is presented based on the combination of rough set theory and BP neural network. In a decision table, the discrete and continue attributes are processed with rough sets and BP neural network respectively, which can avoid the uncertainty caused in the discretization of the continuous attributes. In addition, rough sets is high sensitivity to the noise in the decision table, this weakness can be counterbalance by BP neural network. The test to 3 public databases validates the classification method.
【Fund】: 20 0 0年国防科技预研跨行业基金项目资助 (No.J1 6.6.3)
【CateGory Index】: TP183
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