Comparison of Levenberg-Marquardt and Bayesian Regularization Learning Algorithms for Daily Runoff Forecasting

In this study, Multilayer Perceptron (MLP) with Levenberg-Marquardt and Bayesian Regularization algorithms machine learning methods are compared for modeling of the rainfall-runoff process. For this purpose, daily flows were forecast using 5844 discharge data monitored between 1999 and 2015 of D21A0...

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Vydané v:	Journal of innovative science and engineering Ročník 9; číslo 1; s. 62 - 77
Hlavní autori:	Bor, Asli, Okan, Merve
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bursa Technical University 17.06.2025
Predmet:	artificial neural network discharge forecasting euphrates-tigris basin thanks rainfall-runoff process
ISSN:	2602-4217, 2602-4217
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