[00773] Machine Learning Model for Thin Metal Sheet Counting and Thickness Measurement
Session Time & Room : 3C (Aug.23, 13:20-15:00) @E811
Type : Contributed Talk
Abstract : In this talk we are to discuss about counting stacked metal foils in real time. For the purpose a non-contact method based on broadband X-ray absorption spectra was employed to scan the experimental samples and artificial neural network was built to count and measure thickness of the stacked foil. Further, the attained results are compared with polynomial fitting model and linear regression in order to verify the difference in prediction accuracy of the three models.
