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Application of Rainfall-Runoff Modeling With Neuro-Fuzzy.

2019
The use of fuzzy approach is becoming increasingly common in the analysis of hydrology and water resources problems. In this research, a fuzzy inference system was developed and used to model the rainfall-runoff relationship on a semi-arid catchment, namely the Kurukavak catchment, which is a sub-basin of the Sakarya basin in Turkey.
Yürekli, B., Oysal, Yusuf, Tombul, M.
openaire   +1 more source

RR-Former: Rainfall-runoff modeling based on Transformer

Journal of Hydrology, 2022
Hanlin Yin   +2 more
exaly  

A self-identification Neuro-Fuzzy inference framework for modeling rainfall-runoff in a Chilean watershed

Journal of Hydrology, 2021
Marvin Querales   +2 more
exaly  

Rainfall-runoff modeling using LSTM-based multi-state-vector sequence-to-sequence model

Journal of Hydrology, 2021
Hanlin Yin   +2 more
exaly  

Rainfall-runoff modeling using long short-term memory based step-sequence framework

Journal of Hydrology, 2022
Hanlin Yin   +2 more
exaly  

Rainfall-runoff modeling using SWAT model

2023
Aadhi Naresh   +5 more
openaire   +1 more source

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