Effect of Antecedent Conditions on Prediction of Pore-Water Pressure Using Artificial Neural Networks

• Main Authors: Mustafa, M.R., Rezaur R.B., Rezaur, Isa, M.H., Saiedi, Saied, Rahardjo, H.
• Format: Citation Index Journal
• Published: 2012
• Subjects: TC Hydraulic engineering. Ocean engineering
• Online Access: http://eprints.utp.edu.my/10763/1/Effect%20of%20antecedent%20conditions%20on%20prediction%20of%20pore-water%20pressure%20using%20artificial%20neural%20networks.pdf; http://eprints.utp.edu.my/10763/

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 o...