Modeling the cyclic swelling pressure of mudrock using artificial neural networks

The stochastic nature of the cyclic swelling behavior of mudrock and its dependence on a large number of interdependent parameters was modeled using Time Delay Neural Networks (TDNNs). This method has facilitated predicting cyclic swelling pressure with an acceptable level of accuracy where developi...

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Veröffentlicht in:	Engineering geology 2006-11, Vol.87 (3), p.178-194
Hauptverfasser:	Moosavi, M., Yazdanpanah, M.J., Doostmohammadi, R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial neural networks Buildings. Public works Computation methods. Tables. Charts Cyclic swelling pressure Cyclic wetting and drying Dams and subsidiary installations Exact sciences and technology Geotechnics Hydraulic constructions Pressure cell Soil investigations. Testing Structural analysis. Stresses Time delay neural networks
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