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Welding International Volume 10, 1996 - Issue 8
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Original Articles

Control of weldpool width and cooling time in TIG welding using a neural network model

B Jin Saitama University
,
M Soeda Saitama University
&
K Oshima Saitama University
Pages 614-621 | Published online: 09 Dec 2009

Citations (4)

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Read on this site (2)

P. Ghanty, S. Paul, A. Roy, D. P. Mukherjee, N. R. Pal, M. Vasudevan, H. Kumar & A. K. Bhaduri. (2008) Fuzzy rule based approach for predicting weld bead geometry in gas tungsten arc welding. Science and Technology of Welding and Joining 13:2, pages 167-175.
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P. Ghanty, S. Paul, D. P. Mukherjee, M. Vasudevan, N. R. Pal & A. K. Bhaduri. (2007) Modelling weld bead geometry using neural networks for GTAW of austenitic stainless steel. Science and Technology of Welding and Joining 12:7, pages 649-658.
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Articles from other publishers (2)

Jeng-Ywan Jeng, Tzuoh-Fei Mau & Shyeu-Ming Leu. (2000) Prediction of laser butt joint welding parameters using back propagation and learning vector quantization networks. Journal of Materials Processing Technology 99:1-3, pages 207-218.
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S.C Juang, Y.S Tarng & H.R Lii. (1998) A comparison between the back-propagation and counter-propagation networks in the modeling of the TIG welding process. Journal of Materials Processing Technology 75:1-3, pages 54-62.
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