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Volume 5 Number 4
This paper presents an artificial neural networking (ANN) model developed to predict the behaviour of semi-rigid bare-steel joints at elevated temperature. Data for three flush end-plate and one flexible end-plate joints were considered. Sixteen parameters which included geometry of the joint's components, material properties of the joint, joint's temperature and the applied moment were used as the input variables for the model whilst the joint's rotation was the main output parameter. Datadoi:10.18057/ijasc.2009.5.4.6 fatcat:ujaptcv6pzfpxia6afpz6llcle