View of Machine Learning Applications in Predicting Aluminum Material Thickness from Transmission X-ray Spectra: A Comparative Study of Feedforward Neural Network (FNN), Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) Models

Return to Issue Details Machine Learning Applications in Predicting Aluminum Material Thickness from Transmission X-ray Spectra: A Comparative Study of Feedforward Neural Network (FNN), Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) Models Download Download PDF