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Application of Rainfall-Runoff Modeling With Neuro-Fuzzy.
2019The 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 +2 more sources
An assessment of rainfall-runoff modeling methodology
2010This study reports model performance calculations for three event-based rainfall-runoff models on both real and synthetic data sets. The models include a regression model, a unit hydrograph model and a quasi-physically based model. The real data sets are for small upland catchments from the Washita River Experimental Watershed, Oklahoma; the Mahantango
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Rainfall-runoff modeling using LSTM-based multi-state-vector sequence-to-sequence model
Journal of Hydrology, 2021XiuWei Zhang, Hanlin Yin, Yanning Zhang
exaly
A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling
Water Resources Management, 2009Vahid Nourani, Mehdi Komasi, Akira Mano
exaly