Discussion of “Neural Network Modeling of Confined Compressive Strength and Strain of Circular Concrete Columns” by Andres W. C. Oreta and Kuzuhiko Kawashima
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VIEW THE REPLYAuthors: Sundaramoorthy Rajasekaran and K. NalinaaAuthor Affiliations
Publication: Journal of Structural Engineering
Volume 130, Issue 10
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References
1.
Rajasekaran, S., and Amalraj, R. (2002). “Predictions of design parameters in civil engineering problems using SLNN with a single hidden RBF neuron.” Comput. Struct., 80, 2495–2505.
2.
Zhang, J., and Morris, A. J. (1998). “A sequential learning approach for single hidden layer neural networks,” Neural Networks, 11(1), 65–80.
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Published In
Journal of Structural Engineering
Volume 130 • Issue 10 • October 2004
Pages: 1634 - 1635
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Copyright © 2004 ASCE.
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Published online: Oct 1, 2004
Published in print: Oct 2004
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Sundaramoorthy Rajasekaran
Professor of Infrastructure Engineering, PSG College of Technology, Coimbatore, 641004, Tamilnadu, India. E-mail: [email protected]
K. Nalinaa
Senior Lecturer in Civil Engineering, PSG College of Technology, Coimbatore, 641004, Tamilnadu, India. E-mail: [email protected]
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