A genetic algorithm and gradient-descent-based neural network with the predictive power of a heat and fluid flow model for welding

Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/4682

Title:	A genetic algorithm and gradient-descent-based neural network with the predictive power of a heat and fluid flow model for welding
Authors:	MISHRA, S DEBROY, T
Keywords:	steel arc welds ferrite number prediction alloy shipbuilding steels monte-carlo-simulation multivariable optimization improving reliability back-propagation ti-6al-4v welds complex joints affected zone
Issue Date:	2006
Publisher:	AMER WELDING SOC
Citation:	WELDING JOURNAL, 85(11), 231S-242S
Abstract:	Six neural networks were developed for gas tungsten arc welding of low-carbon steel, with each network providing one of the six output parameters of G TA welds.
URI:	http://dspace.library.iitb.ac.in/xmlui/handle/10054/4682 http://hdl.handle.net/10054/4682
ISSN:	0043-2296
Appears in Collections:	Article

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