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《Machine Tool & Hydraulics》 2008-08
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Work-piece Pattern Recognition Based on BP Neural Networks

ZHANG Jinping1,2,LIU Jie1,ZHANG Liguo2,LI Yungong1(1.School of Mechanical Engineering & Automation,Northeastern University,Shengyang 110004,China;2.Shenyang Institute of Chemical Technology,Shenyang 110142,China)  
To increase the speed of work-piece identification,a novel identification process was proposed.Firstly the recognized work-pieces were divided into four categories based on the generating grammar of work-pieces.Then the work-pieces and the images were recognized in the stencil gallery matches.BP neural network was used to deal with image pattern classification.The features of the work-piece images such as area ratios,smoothness,consistency,third moment,entropy were choosed as the inputting parameters of the BP neural network to recognize the work-piece.The results of the experiment show that the recognition ratio of the proposed method is high.
【Fund】: 国家自然科学基金资助项目(50775029)
【CateGory Index】: TP391.41
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