Generalized regression neural network for prediction of peak outflow from dam breach

• 主要な著者: Sammen, Saad Shauket, Mohammad, Thamer Ahmad, Ghazali, Abdul Halim, Ahmed El-Shafie, Ahmed Hussein Kamel, Mohd Sidek, Lariyah
• フォーマット: 論文
• 言語: English
• 出版事項: Springer 2017
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/61947/1/Generalized%20regression%20neural%20network%20for%20prediction%20of%20peak%20outflow%20from%20dam%20breach.pdf; http://psasir.upm.edu.my/id/eprint/61947/; https://link.springer.com/article/10.1007/s11269-016-1547-8

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...