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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
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