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Prediction of Bead Geometry Using a Two-Stage SVM–ANN Algorithm for Automated Tungsten Inert Gas (TIG) Welds

JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING(2019)

Cited 14|Views2
Key words
bead geometry prediction,support vector machines,artificial neural networks,data classification
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