Lu Zheng, Fei Renyuan. Application Study of Artificial Nearal Networks for Intelligent Status-Manufacturing on Cylindrical Boring[J]. Journal of Beijing University of Technology, 1994, 20(2): 83-90.
Citation:
Lu Zheng, Fei Renyuan. Application Study of Artificial Nearal Networks for Intelligent Status-Manufacturing on Cylindrical Boring[J]. Journal of Beijing University of Technology, 1994, 20(2): 83-90.
Lu Zheng, Fei Renyuan. Application Study of Artificial Nearal Networks for Intelligent Status-Manufacturing on Cylindrical Boring[J]. Journal of Beijing University of Technology, 1994, 20(2): 83-90.
Citation:
Lu Zheng, Fei Renyuan. Application Study of Artificial Nearal Networks for Intelligent Status-Manufacturing on Cylindrical Boring[J]. Journal of Beijing University of Technology, 1994, 20(2): 83-90.
Application Study of Artificial Nearal Networks for Intelligent Status-Manufacturing on Cylindrical Boring
Based on the theory of Artificial Nearal Networks, the intelligent pattern recognition technlogy for operational status-monitoring in cylindrical boring was discussed. The BP algorithm of Artificial Neural Networks and lots of experimental samples were used in training the BP model which succeeded in diagnosing four kinds of operational status.
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