Keyhole status prediction based on voting ensemble convolutional neural networks and visualization by Grad-CAM in PAW

发布时间:2024-03-12|点击次数:

所属单位:材料科学与工程学院

论文名称:Keyhole status prediction based on voting ensemble convolutional neural networks and visualization by Grad-CAM in PAW

发表刊物:Journal of manufacturing processes

关键字:Convolution neural network;Keyhole plasma arc welding;Majority voting;Model visualization;Topside weld pool image

第一作者:周方正

论文编号:1557660941995376641

卷号:80

页面范围:805-815

字数:8000

是否译文:否

发表时间:2022-08-01