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...
| Autori principali: | , , , , |
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| Altri autori: | |
| Natura: | Journal Article |
| Lingua: | English |
| Pubblicazione: |
2014
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| Soggetti: | |
| Accesso online: | https://hdl.handle.net/10356/106288 http://hdl.handle.net/10220/23992 http://dx.doi.org/10.5539/mas.v6n2p6 |