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...
שמור ב:
| Main Authors: | Sammen, Saad Shauket, Mohammad, Thamer Ahmad, Ghazali, Abdul Halim, Ahmed El-Shafie, Ahmed Hussein Kamel, Mohd Sidek, Lariyah |
|---|---|
| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
Springer
2017
|
| גישה מקוונת: | http://psasir.upm.edu.my/id/eprint/61947/1/Generalized%20regression%20neural%20network%20for%20prediction%20of%20peak%20outflow%20from%20dam%20breach.pdf |
| תגים: |
הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
|
פריטים דומים
-
An evaluation of existent methods for estimation of embankment dam breach parameters
מאת: Sh. Sammen, Saad, et al.
יצא לאור: (2017) -
Flood modeling of dam break with consideration of climate change
מאת: Sammen, Saad Shauket
יצא לאור: (2017) -
Flood modeling of dam break with consideration of climate change
מאת: Sammen, Saad Shauket
יצא לאור: (2017) -
Flood modeling of dam break with consideration of climate change /
מאת: Sammen, Saad Shauket.
יצא לאור: (2018) -
Dam breach parameters and their influence on flood hydrographs for Mosul dam
מאת: Basheer, Talal A., et al.
יצא לאור: (2017)
