Potential of hybrid wavelet-coupled data-driven-based algorithms for daily runoff prediction in complex river basins

Accurate prediction of daily runoff’s dynamic nature is necessary for better watershed planning and management. This study analyzes the applicability of artificial neural network (ANN), wavelet-coupled artificial neural network (WANN), adaptive neuro-fuzzy inference system (ANFIS), and wavelet-coupl...

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Vydáno v:	Theoretical and applied climatology Ročník 145; číslo 3-4; s. 1207 - 1231
Hlavní autoři:	Bajirao, Tarate Suryakant, Kumar, Pravendra, Kumar, Manish, Elbeltagi, Ahmed, Kuriqi, Alban
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Vienna Springer Vienna 01.08.2021 Springer Springer Nature B.V
Témata:	Adaptive systems Algorithms Analysis Aquatic Pollution Artificial neural networks Atmospheric Protection/Air Quality Control/Air Pollution Atmospheric Sciences Climate science Climatology Daily Daily rainfall Daily runoff Data Decomposition Earth and Environmental Science Earth Sciences Fuzzy logic hybrids India Inference Model accuracy Neural networks Original Paper Performance evaluation prediction Predictions Rain Rain and rainfall Rainfall Reliability analysis River basins Rivers Runoff Sensitivity analysis time series analysis Uncertainty analysis Waste Water Technology Water Management Water Pollution Control Watershed management watersheds India
ISSN:	0177-798X, 1434-4483
On-line přístup:	Získat plný text
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