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

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Title A genetic algorithm and gradient-descent-based neural network with the predictive power of a heat and fluid flow model for welding
 
Creator MISHRA, S
DEBROY, T
 
Subject 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
neural networks
gas tungsten are welding (gtaw)
heat transfer and fluid flow model
low-carbon steel
 
Description 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.
 
Publisher AMER WELDING SOC
 
Date 2011-07-17T09:06:05Z
2011-12-26T12:50:13Z
2011-12-27T05:36:21Z
2011-07-17T09:06:05Z
2011-12-26T12:50:13Z
2011-12-27T05:36:21Z
2006
 
Type Article
 
Identifier WELDING JOURNAL, 85(11), 231S-242S
0043-2296
http://dspace.library.iitb.ac.in/xmlui/handle/10054/4682
http://hdl.handle.net/10054/4682
 
Language en