Neural networks in GTA weld modeling and control

Kumar Ramaswamy*, George E. Cook, Kristinn Andersen, Gabor Karsai

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)


A solution to modeling the gas tungsten arc welding process using a nonconventional technique is presented. This approach, a nonlinear modeling technique using neural networks, has exhibited the potential to learn to model the time responses of a nonlinear, multivariable system. The feasibility of this approach as an alternative to existing techniques is examined. Potential problems with this approach are discussed. A control architecture using a second neural network is suggested.

Original languageEnglish
Number of pages6
Publication statusPublished - 1989
EventProceedings of the 1989 American Control Conference - Pittsburgh, PA, USA
Duration: 21 Jun 198923 Jun 1989


ConferenceProceedings of the 1989 American Control Conference
CityPittsburgh, PA, USA


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