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《ACTA AERONAUTICA ET ASTRONAUTICA SINICA》 1997-05
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ARTIFICIAL NEURAL NETWORK APPROACH OF QUALITY CONTROL FOR INTELLIGENT MANUFACTURING SYSTEM

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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1 YE Lin(Management School of Xi′an Jiaotong University,Xi′an 710049,China);Application Research on Tax Forecasting Based on GMDH and BP Artificial Neural Network Theory[J];数学的实践与认识;2006-07
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