Application of SVR and GRNN Models in Estimating Maximum Scour Depth at River Confluences under Live-Bed Condition
| Müellif | Behnam Balouchi · Mohammad Reza Nikoo |
| Materyal türü | Basma eser |
| Dil | Farsça |
| Tarih | 2017 |
| Yüzyıl | 21. yüzyıl |
| Kurum | Internet Archive |
| Kaynak | Internet Archive |
| Not | River confluences are one of the most complex places in river systems, that it is important to predict the maximum scour depth (Ds) at this place using intelligent systems that consider this complexity. Therefore, in this study, the performance of two artificial intelligence models, namely, SVR (con |
Behnam Balouchi · Mohammad Reza Nikoo, Application of SVR and GRNN Models in Estimating Maximum Scour Depth at River Confluences under Live-Bed Condition, 2017, Internet Archive, https://archive.org/details/httpscivil-ferdowsi.um.ac.irarticle_30333.htmllangen.