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...
Tallennettuna:
| Päätekijät: | Sammen, Saad Shauket, Mohammad, Thamer Ahmad, Ghazali, Abdul Halim, Ahmed El-Shafie, Ahmed Hussein Kamel, Mohd Sidek, Lariyah |
|---|---|
| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
Springer
2017
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| Linkit: | http://psasir.upm.edu.my/id/eprint/61947/1/Generalized%20regression%20neural%20network%20for%20prediction%20of%20peak%20outflow%20from%20dam%20breach.pdf |
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