Optimization of dechlorination experiment design using lightweight deep learning model

HIGHLIGHTS

• who: Jianghua, Peng and Houzhang, Tan from the School of Energy and Power Engineering, Xi`an Jiaotong University, Xi`an, China have published the paper: Optimization of Dechlorination Experiment Design Using Lightweight Deep Learning Model, in the Journal: Computational Intelligence and Neuroscience of 25/06/2022
• what: The total input u03bci of neurons in the model is expressed as weight vector Q is random in the initial case, so the actual output ykr accuracy of the calculated network is not high.
• how: The lightweight DL model is introduced into the chloride diffusion prediction . . .
  

   

  

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