Comparison of Artificial Neural Network Methods with L-moments for Estimating Flood Flow at Ungauged Sites: the Case of East Mediterranean River Basin, Turkey
By N. Seçkin, Murat Cobaner, R. Yurtal, T. Haktanır. Water resources management, 2013
64 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/eb2fec3c696d4cebef2834f4a3977fe9ce6cdd3c
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In Environmental Engineering
In Global and Planetary Change
In Water Science and Technology
Citations in the corpus
- Predicting Water Level Fluctuations in Lake Michigan-Huron Using Wavelet-Expert System Methods (2014, background): “…(ANNs), essentially a powerful black-box model, have a flexible mathematical structure that is capable of identifying complex non-linear relationships between inputs and outputs without predefined knowledge of the underlying physical processes involved in the transformation (Seckin et al. 2013).”