Quality prediction and classification of resistance spot weld using artificial neural network with open-sourced, self-executable and gui-based application tool q-check

HIGHLIGHTS

• who: Suhaila Abd Halim from the Faculty State University have published the paper: Quality prediction and classification of resistance spot weld using artificial neural network with open-sourced, self-executable and GUI-based application tool Q-Check, in the Journal: Scientific Reports Scientific Reports
• what: In this study, the application tool named Q-Check is developed using Qt designer to design the GUI layout and Spyder IDE as the back-end development. The weight and bias values for each layer of ANN model are shown and used for research purposes. As further recommendations to current . . .
  

   

  

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