Generalized regression neural network for prediction of peak outflow from dam breach
Several techniques have been used for estimation of peak outflow from breach when dam failure occurs. This study proposes using a generalized regression artificial neural network (GRNN) model as a new technique for peak outflow from the dam breach estimation and compare the results of GRNN with the...
Gorde:
| Egile Nagusiak: | Sammen, Saad Shauket, Mohammad, Thamer Ahmad, Ghazali, Abdul Halim, Ahmed El-Shafie, Ahmed Hussein Kamel, Mohd Sidek, Lariyah |
|---|---|
| Formatua: | Artikulua |
| Hizkuntza: | English |
| Argitaratua: |
Springer
2017
|
| Sarrera elektronikoa: | http://psasir.upm.edu.my/id/eprint/61947/1/Generalized%20regression%20neural%20network%20for%20prediction%20of%20peak%20outflow%20from%20dam%20breach.pdf |
| Etiketak: |
Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|
Antzeko izenburuak
-
An evaluation of existent methods for estimation of embankment dam breach parameters
nork: Sh. Sammen, Saad, et al.
Argitaratua: (2017) -
Flood modeling of dam break with consideration of climate change
nork: Sammen, Saad Shauket
Argitaratua: (2017) -
Flood modeling of dam break with consideration of climate change
nork: Sammen, Saad Shauket
Argitaratua: (2017) -
Flood modeling of dam break with consideration of climate change /
nork: Sammen, Saad Shauket.
Argitaratua: (2018) -
Dam breach parameters and their influence on flood hydrographs for Mosul dam
nork: Basheer, Talal A., et al.
Argitaratua: (2017)
