Effect of antecedent conditions on prediction of pore water oressure using artificial neural networks

Effect of antecedent conditions on prediction of pore water oressure using artificial neural networks

The effect of antecedent conditions on the prediction of soil pore-water pressure (PWP) using Artificial Neural Network (ANN) was evaluated using a multilayer feed forward (MLFF) type ANN model. The Scaled Conjugate Gradient (SCG) training algorithm was used for training the ANN. Time series data of...

Full description

Bibliographic Details
Main Authors: Mustafa, Muhammad Raza Ul, Bhuiyan, Rezaur Rahman, Isa, Mohamed Hasnain, Saiedi, Saied, Rahardjo, Harianto
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2014
Subjects:
DRNTU::Engineering::Civil engineering::Geotechnical
Online Access:https://hdl.handle.net/10356/106288
http://hdl.handle.net/10220/23992
http://dx.doi.org/10.5539/mas.v6n2p6

Internet

https://hdl.handle.net/10356/106288
http://hdl.handle.net/10220/23992
http://dx.doi.org/10.5539/mas.v6n2p6

Similar Items