Artificial neural network modelling of driven pile capacity in Metro Manila
The compressive axial load capacity of driven piles is most likely to be the governing factor in the piles' design, making its accurate prediction an important consideration. This paper presents the use of Artificial Neural Networks (ANNs) for the prediction of the ultimate compressive axial lo...
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| Formaat: | Thesis |
| Taal: | English |
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