| 刀具耐用度变动系数的BP神经网络预报技术 |
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| 引用本文： | 牟建强,艾兴,李兆前,刘战强. 刀具耐用度变动系数的BP神经网络预报技术[J]. 山东大学学报(工学版), 1996, 0(3) |
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| 作者姓名： | 牟建强 艾兴 李兆前 刘战强 |
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| 作者单位： | 山东工业大学机械工程学院 |
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| 基金项目： | 山东省自然科学基金,国家教委资助留学回国人员基金 |
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| 摘 要： | 采用改进的ＢＰ算法，建立了刀具耐用度变动系数的神经网络预报模型．研究表明，该模型适合于描述刀具耐用度变动系数同切削条件参数之间复杂的非线性函数关系，并可以对不同切削条件下的刀具耐用度变动系数进行正确预报
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| 关 键 词： | 刀具；神经网络；可靠性估计 |
PREDICTION FOR COEFFICIENT OF VARIATION OF TOOL LIFE WITH BP NEURAL NETWORK |
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| Mu Jianqiang Ai Xing Li Zhaoqian et al. PREDICTION FOR COEFFICIENT OF VARIATION OF TOOL LIFE WITH BP NEURAL NETWORK[J]. Journal of Shandong University of Technology, 1996, 0(3) |
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| Authors: | Mu Jianqiang Ai Xing Li Zhaoqian et al |
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| Abstract: | With a modified BP neural network,prediction for the coefficient of variation of cutting tool life is studied. It is shown that BP neural network is suitable for describing the nonlinear complex relationship between the coefficient of variation and cutting parameters. The model built in this study can be used to give a correct prediction of the coefficient of variation of tool life. |
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| Keywords: | Cutting tool Neural networks Reliability estimation |
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