... the issues of insufficient accuracy, high computational resource consumption and poor engineering usability in existing homogenization methods, this study proposes a modeling method based on a convolutional neural network ( CNN ) for predicting monoclinic homogenized constitutive parameters. This method can...

.... Convolutional neural network, one of the deep learning methods, is trained using the data set obtained for this study, and pad regions on PCB are classified. Findings A total of six types of classes used in the study consist of uncorrectable soldering, missing soldering, excess soldering, short circuit...