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TIG Bead Geometry Prediction with ANN by haroub_nas is a document available to read on EtoBox.

What is TIG Bead Geometry Prediction with ANN about?

The document discusses using artificial neural networks to predict TIG bead geometry based on welding process parameters. Experiments were conducted to collect data on bead geometry like front width, back width, and depth of penetration for different parameter sets. This data was used to train and test multi-layer perceptron neural networks. The models could accurately predict bead geometry when testing data was the same as training data, with less than 1% error. Predictions were reasonably accurate even wh

Author
haroub_nas
Language
EN