In article http://doi.wiley.com/10.1002/srin.202200342, Bao, Wang, and Gu use the convolutional neural network model to predict the oxygen content at the end point of the converter. Experiments determine the number of convolutional layers, kernels, and convolutional kernel size. Its root mean square error, mean absolute error, and mean absolute percentage error are 35.29, 25.59, and 7.30%, respectively, which is superior to the back propagation neural network.
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