1 / 2020-12-17 08:31:44
Improved Depth Neural Network Industrial Control Security Algorithm Based On PCA Dimension Reduction
industrial control system,deep neural network,PCA,adagrad
Draft Pending
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.

 
Important Date
  • Conference Date

    Apr 08

    2021

    to

    Apr 10

    2021

  • Jan 25 2021

    Draft paper submission deadline

  • Feb 26 2021

    Draft Paper Acceptance Notification

  • Apr 10 2021

    Registration deadline

Sponsored By
Surya Engineering College(SEC)
Organized By
Surya Engineering College(SEC)
Supported By
Surya Engineering College(SEC)
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