An artificial neural network model for predicting the behaviour of semi-rigid joints in fire
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Khalifa S. Al-Jabri | S. M. Al-Alawi | A. H. Al-Saidy | A. S. Alnuaimi | S. Al-Alawi | A. Al-Saidy | K. Al-Jabri | A. Alnuaimi
[1] Patrick K. Simpson,et al. Artificial Neural Systems: Foundations, Paradigms, Applications, and Implementations , 1990 .
[2] G. David Garson,et al. Interpreting neural-network connection weights , 1991 .
[3] E. De Santiago,et al. Classification of Steel Semi-Rigid Connections by Neural Networks , 2004 .
[4] A. T. C. Goh,et al. Back-propagation neural networks for modeling complex systems , 1995, Artif. Intell. Eng..
[5] Georgios E. Stavroulakis,et al. A Neural Network Approach to the Modelling, Calculation and Identification of Semi-Rigid Connections in Steel Structures , 1997 .
[6] T Lennon,et al. Moment–rotation–temperature curves for semi-rigid joints , 2005 .
[7] Ibrahim H. Guzelbey,et al. Prediction of rotation capacity of wide flange beams using neural networks , 2006 .
[8] Yong Wang,et al. Prediction of fire resistance of concrete filled tubular steel columns using neural networks , 2002 .
[9] R. Hecht-Nielsen,et al. Theory of the Back Propagation Neural Network , 1989 .
[10] E. L. Hines,et al. Application of artificial neural networks to the prediction of minor axis steel connections , 1997 .
[11] Lee Christopher Leston-Jones. The influence of semi-rigid connections on the performance of steel framed structures in fire. , 1997 .
[12] Ibrahim H. Guzelbey,et al. Prediction of web crippling strength of cold-formed steel sheetings using neural networks , 2006 .