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...
Na minha lista:
| Principais autores: | Sammen, Saad Shauket, Mohammad, Thamer Ahmad, Ghazali, Abdul Halim, Ahmed El-Shafie, Ahmed Hussein Kamel, Mohd Sidek, Lariyah |
|---|---|
| Formato: | Atigo |
| Idioma: | English |
| Publicado em: |
Springer
2017
|
| Acesso em linha: | http://psasir.upm.edu.my/id/eprint/61947/1/Generalized%20regression%20neural%20network%20for%20prediction%20of%20peak%20outflow%20from%20dam%20breach.pdf |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
Registros relacionados
-
An evaluation of existent methods for estimation of embankment dam breach parameters
por: Sh. Sammen, Saad, et al.
Publicado em: (2017) -
Flood modeling of dam break with consideration of climate change
por: Sammen, Saad Shauket
Publicado em: (2017) -
Flood modeling of dam break with consideration of climate change
por: Sammen, Saad Shauket
Publicado em: (2017) -
Flood modeling of dam break with consideration of climate change /
por: Sammen, Saad Shauket.
Publicado em: (2018) -
Dam breach parameters and their influence on flood hydrographs for Mosul dam
por: Basheer, Talal A., et al.
Publicado em: (2017)
