Journal based on attributes using cnn universitas

HIGHLIGHTS

• who: Andri Andini from the Negeri Malang, JlSemarang, Malang, Indonesia University of South Australia, Currie St, Adelaide SA, Australia have published the paper: Journal Based on Attributes Using CNN Universitas, in the Journal: (JOURNAL) of 15/02/2022
• what: The addition of the number of hidden layers of neurons in the CNN method in this study has different effects on each model.
• how: Based on the study results the best results were obtained with an RMSE value of 2.314 using an architecture of 2 hidden layers and 64 neurons in Model 1 . . .
  

   

  

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