| 人工神经网络在CAPP定位基面选择中的应用 |
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| 引用本文： | 王杰,蒋玉明,殷国富. 人工神经网络在CAPP定位基面选择中的应用[J]. 四川大学学报(工程科学版), 2000, 32(4): 101-103 |
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| 作者姓名： | 王杰 蒋玉明 殷国富 |
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| 作者单位： | 四川大学,制造科学与工程学院,成都610065 |
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| 基金项目： | 四川省应用基础研究资助项目!(970 70 4 0 ) |
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| 摘 要： | 在分析专家系统和人工神经网络特点的基础上，提出了一种基于人工神经网络的零件定位基面选择方法，分组建立了ＢＰ网络模型，并要根据零件特征提出了网络的输入编码方法，针对ＢＰ网络的特性，在训练中采用了变步长和变精度和方法来加快收敛速度，并给出了实例。
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| 关 键 词： | 人工神经网络 CAPP 定位基面选择 |
| 修稿时间： | : |
Neural Network Approach for Datum Selection in CAPP |
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| WANG Jie,JIANG Yu-ming,YIN Guo-fu. Neural Network Approach for Datum Selection in CAPP[J]. Journal of Sichuan University (Engineering Science Edition), 2000, 32(4): 101-103 |
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| Authors: | WANG Jie JIANG Yu-ming YIN Guo-fu |
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| Abstract: | A method of using artificial neural network for datum selection is proposed in this paper based on analyzing the characteristics of the expert system and ANN respectively. A coding method for input and output has been developed according to the part features. In view of the characteristics of the Back propagation, the variable step and the variable precision have been used in order to speed up the convergence in training process. The models of BP network have been established respectively in accordance with the part groups based on the group technology, and some examples have been displayed. |
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| Keywords: | ANN CAPP datum selection |
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