1 / 2020-12-17 08:34:39
Improved Depth Neural Network Industrial Control Security Algorithm Based On PCA Dimension Reduction
industrial control system,deep neural network,PCA,adagrad
全文待审
qiang rong / 郑州科技学院
In order to improve the security and anti-interference ability of industrial control system,this paper proposes an improved industrial neural network defense method based on the PCA dimension reduction and the improved deep neural network. Firstly,the proposed method reduces the dimensionality of the industrial data using the dimension reduction theory of principal component analysis(PCA). Then the deep neural network extracts the features of the network. Finally,the softmax classifier classifies industrial data. Experiment results show that compared with unintegrated algorithm,this method achieves higher recognition accuracy and has great application potential.

 
重要日期
  • 会议日期

    06月16日

    2021

    06月18日

    2021

  • 12月18日 2020

    初稿截稿日期

  • 06月18日 2021

    注册截止日期

主办单位
University of Amsterdam, The Netherlands
AGH University of Science and Technology, Poland
承办单位
University of Amsterdam, The Netherlands
NTU Singapore
University of Tennessee Knoxville
AGH University of Science and Technology
协办单位
Springer
Elsevier
University of Amsterdam, The Netherlands
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