Journal
SCIENCE AND TECHNOLOGY OF WELDING AND JOINING
Volume 13, Issue 4, Pages 395-401Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1179/174329308X300118
Keywords
infrared thermal image; weld bead geometry; artificial neural network; multilayer perceptron; radial basis function; online feature selection
Ask authors/readers for more resources
In this article an artificial neural network based system to predict weld bead geometry using features derived from the infrared thermal video of a welding process is proposed. The multilayer perceptron and radial basis function networks are used in the prediction model and an online feature selection technique prioritises the features used in the prediction model. The efficacy of the system is demonstrated with a number of welding experiments and using the leave one out cross-validation experiments.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available