| 智能制造系统质量控制的神经网络方法研究 |
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| 引用本文： | 朱名铨,党志斌.智能制造系统质量控制的神经网络方法研究[J].航空学报,1997,18(5):603-606. |
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| 作者姓名： | 朱名铨 党志斌 |
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| 作者单位： | 西北工业大学飞行器制造工程系 |
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| 摘 要： | 研究了利用人工神经网络预测质量参数的方法，提出了用有监督线性特征映射网络构造自校正神经网络的方法及网络参数的选择，并提供了在磨削尺寸预测中的应用，研究表明该方法具有广泛的应用前景。
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| 关 键 词： | 人工神经网络 质量控制 智能制造系统 |
ARTIFICIAL NEURAL NETWORK APPROACH OF QUALITY CONTROL FOR INTELLIGENT MANUFACTURING SYSTEM |
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| Zhu Mingquan,Dang Zhibin.ARTIFICIAL NEURAL NETWORK APPROACH OF QUALITY CONTROL FOR INTELLIGENT MANUFACTURING SYSTEM[J].Acta Aeronautica et Astronautica Sinica,1997,18(5):603-606. |
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| Authors: | Zhu Mingquan Dang Zhibin |
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| Institution: | Department of Aeronautic Manufacturing Engineering, Northwestern Polytechnical University,Xi'an,710072 |
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| Abstract: | 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. |
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| Keywords: | artificial neural network quality control intelligent manufacturing system |
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