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智能监控中的神经网络模型及提高应用效能的方法

吕峥, 费仁元

吕峥, 费仁元. 智能监控中的神经网络模型及提高应用效能的方法[J]. 北京工业大学学报, 1994, 20(1): 93-96.
引用本文: 吕峥, 费仁元. 智能监控中的神经网络模型及提高应用效能的方法[J]. 北京工业大学学报, 1994, 20(1): 93-96.
Lu Zheng, Fei Renyuan. The Model of Neural Networks and Its Efficiency Enhancement in Intelligent Monitoring[J]. Journal of Beijing University of Technology, 1994, 20(1): 93-96.
Citation: Lu Zheng, Fei Renyuan. The Model of Neural Networks and Its Efficiency Enhancement in Intelligent Monitoring[J]. Journal of Beijing University of Technology, 1994, 20(1): 93-96.

智能监控中的神经网络模型及提高应用效能的方法

详细信息
  • 中图分类号: TP206.3

The Model of Neural Networks and Its Efficiency Enhancement in Intelligent Monitoring

  • 摘要: 探讨了选取人工神经网络的误差反向传播(BP)模型应用于智能监控的优点;讨论了将其应用于制造系统的监控和诊断时应注意的问题;提出了旨在提高BP模型应用效能的方法即"最有效特征量原则"和"分步式"诊断流程.
    Abstract: The advantages of BP model in artifical Neural networks during intelligent monitoring and controlling was discussed, the probles which shoulds be considesed in diagnosing machining status were mentioned furthremore. Status identirication with sequential search techniques and operational feature optimization with most effeciency principle were presented by authors on the purpose of raising the effeciency of the calculation.
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出版历程
  • 收稿日期:  1993-07-04
  • 网络出版日期:  2022-08-08
  • 发布日期:  1994-03-09

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