Prediction of bead geometry in pulsed GMA welding using back propagation neural network
Journal of Materials Processing Technology. 2008;200(1-3):300-305 
Genetic algorithm for optimization of welding variables for height to width ratio and application of ANN for prediction of bead geometry for TIG welding process
Applied Soft Computing. 2010;10(3):897-907
Development of an Artificial Intelligence Powered TIG Welding Algorithm for the Prediction of Bead Geometry for TIG Welding Processes using Hybrid Deep Learning
Metals. 2020;10(4):451
Prediction of Welding Parameters and Weld Bead Geometry for GMAW Process in Overhead T-Fillet Welding Position (4F)
Advanced Materials Research. 2013;686:320-324
A Study on the Algorithm for Determining Back Bead Generation in GMA Welding Using Deep Learning
Journal of Welding and Joining. 2018;36(2):74-81
Prediction of Bead Geometry with Changing Welding Speed Using Artificial Neural Network
Materials. 2021;14(6):1494
On the prediction of effect of direction of welding on bead geometry and residual deformation of double-sided fillet welds
International Journal of Steel Structures. 2016;16(2):333-345
Optimization of bead geometry in electron beam welding using a Genetic Algorithm
Journal of Materials Processing Technology. 2009;209(3):1151-1157
Prediction and optimization of weld bead geometry in oscillating arc narrow gap all-position GMA welding
The International Journal of Advanced Manufacturing Technology. 2015;79(1-4):183-196
Effect of process parameters and mathematical model for the prediction of bead geometry in pulsed GMA welding
The International Journal of Advanced Manufacturing Technology. 2009;45(5-6):496-505