Prediction of Ultimate Bearing Capacity of Axially Loaded Piles Using a Support Vector Machine
| Müellif | ali Kordjazi · fridon Pooya Nejad |
| Materyal türü | Basma eser |
| Dil | Farsça |
| Tarih | 2012 |
| Yüzyıl | 21. yüzyıl |
| Kurum | Internet Archive |
| Kaynak | Internet Archive |
| Not | Bearing capacity prediction of axially loaded piles is one of the most important problems in geotechnical engineering practices, with a wide variety range of methods which have been introduced to forecast it accurately. Machine learning methods have been reported by many contemporary researches with |
ali Kordjazi · fridon Pooya Nejad, Prediction of Ultimate Bearing Capacity of Axially Loaded Piles Using a Support Vector Machine, 2012, Internet Archive, https://archive.org/details/httpscivil-ferdowsi.um.ac.irarticle_26931.htmllangen.