End-to-end prediction of weld penetration: A deep learning and transfer learning based method
Wenhua Jiao, Qiyue Wang, Yongchao Cheng, Yuming Zhang
Topics & Concepts
Transfer of learningWeldingConvolutional neural networkArtificial intelligenceComputer scienceArtificial neural networkDeep learningResidualEnd-to-end principlePattern recognition (psychology)Residual neural networkProcess (computing)Materials scienceComputer visionMachine learningAlgorithmComposite materialOperating systemWelding Techniques and Residual StressesNon-Destructive Testing TechniquesThermography and Photoacoustic Techniques