Neural network based approach for determining the shear strength of circular reinforced concrete columns

The objective of this study is to investigate the adequacy of neural networks (NN) as a quicker, more secure and more robust method to determine the shear strength of circular reinforced concrete columns. In the application of the NN model, a multilayer perceptron (MLP) with a back-propagation (BP)...

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Veröffentlicht in:	Construction & building materials Jg. 23; H. 10; S. 3225 - 3232
1. Verfasser:	Caglar, Naci
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2009 Elsevier B.V
Schlagworte:	Algorithms Back propagation Building materials Circular RC column Construction materials Matlab Neural networks Reinforced concrete Scaled conjugate gradient algorithm Shear strength Shear strength Scaled conjugate gradient algorithm Neural networks Circular RC column
ISSN:	0950-0618, 1879-0526
Online-Zugang:	Volltext
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