In NN pattern recognition based on rough set theory, gathered original data was used as learning stylebook by rough set, the attribute of stylebook was measured and decision-making table was built with the rules of pattern recognition. The 2D table was set up with condition and decision-making attributes of stylebook, and condition attribute was reduced and some of important attributes were saved. Necessary condition attribute in picking-up rules were trained in the BP neural network and rough set at th...
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