Articles | Volume 12, issue 1
https://doi.org/10.5194/hess-12-123-2008
© Author(s) 2008. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/hess-12-123-2008
© Author(s) 2008. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Comparison of Artificial Intelligence Techniques for river flow forecasting
M. Firat
Research Assistant (PhD), Pamukkale University Civil Engineering Department, Denizli, Turkey
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54 citations as recorded by crossref.
- A hybrid model of self organizing maps and least square support vector machine for river flow forecasting S. Ismail et al. 10.5194/hess-16-4417-2012
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- Computation of Evapotranspiration with Artificial Intelligence for Precision Water Resource Management H. Afzaal et al. 10.3390/app10051621
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- River flow time series using least squares support vector machines R. Samsudin et al. 10.5194/hess-15-1835-2011
- Modelling hybrid and backpropagation adaptive neuro-fuzzy inference systems for flood forecasting R. Tabbussum & A. Dar 10.1007/s11069-021-04694-w
- Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction S. Meshram et al. 10.1007/s11269-020-02672-8
- Stochastic model stationarization by eliminating the periodic term and its effect on time series prediction H. Moeeni et al. 10.1016/j.jhydrol.2017.02.012
- Predictive accuracy of backpropagation neural network methodology in evapotranspiration forecasting in Dédougou region, western Burkina Faso S. TRAORE et al. 10.1007/s12040-013-0398-4
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- Coupling ANFIS with ant colony optimization (ACO) algorithm for 1-, 2-, and 3-days ahead forecasting of daily streamflow, a case study in Poland P. Aghelpour et al. 10.1007/s11356-023-26239-3
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- Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction R. Tabbussum & A. Dar 10.1007/s11356-021-12410-1
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- Linear genetic programming for time-series modelling of daily flow rate A. Guven 10.1007/s12040-009-0022-9
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- Prediction of Stream Flow in Humid Tropical Rivers by Support Vector Machines M. Seyam et al. 10.1051/matecconf/201711101007
- Investigating the effect of previous time on modeling stage–discharge curve at hydrometric stations using GEP and NN models F. Harasami et al. 10.1080/09715010.2017.1308278
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