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Zhu Mingquan, Dang Zhibin (Department of Aeronautic Manufacturing Engineering, Northwestern Polytechnical University,Xi′an,710072)  
Intelligent quality control is one of the key techniques in Intelligent Manufacturing System(IMS). The approaches of predicting quality characteristics by artificial neural network are discussed. The SLFM network proposed by the authors is used to construct a self correcting network to predict the dimension for grinding workpieces in centerless grinding machine.
【Fund】: 国家自然科学基金
【CateGory Index】: V260
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