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Trend Analysis of Maximum Hydrologic Drought Variables Using Mann–Kendall and Şen's Innovative Trend Method

River research and applications, 2017-05, Vol.33 (4), p.597-610

2017

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Daily pan evaporation modelling using a neuro-fuzzy computing technique

Journal of hydrology (Amsterdam), 2006-10, Vol.329 (3), p.636-646

Kisi, O

2006

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Suspended sediment concentration estimation by an adaptive neuro-fuzzy and neural network approaches using hydro-meteorological data

Journal of hydrology (Amsterdam), 2009-03, Vol.367 (1), p.52-61

2009

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ON ALMOST CONVERGENCE OF FUZZY VARIABLES

TWMS journal of applied and engineering mathematics, 2024-04, Vol.14 (2), p.657

2024

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Impurity effect on clear water evaporation: toward modelling wastewater evaporation using ANN, ANFIS-SC and GEP techniques

Hydrological sciences journal, 2017-08, Vol.62 (11), p.1856-1866

2017

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Suspended sediment estimation using neuro-fuzzy and neural network approaches

Hydrological sciences journal, 2005-08, Vol.50 (4), p.683-696

KISI, Ozgur

2005

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Daily streamflow prediction using optimally pruned extreme learning machine

Journal of hydrology (Amsterdam), 2019-10, Vol.577, p.123981, Article 123981

2019

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Some observations on statistical convergence of uncertain double sequences of fuzzy numbers

The journal of nonlinear sciences and its applications, 2023-12, p.19-29

2023

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S_{\lambda}(\mathcal{I})$-convergence of complex uncertain sequence

Matematychni studii, 2019-06, Vol.51 (2)

Kisi, O.

2019

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River suspended sediment concentration modeling using a neural differential evolution approach

Journal of hydrology (Amsterdam), 2010-07, Vol.389 (1), p.227-235

Kisi, O

2010

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A genetic programming approach to suspended sediment modelling

Journal of hydrology (Amsterdam), 2008-04, Vol.351 (3), p.288-298

2008

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Comparison of different methods for developing a stage-discharge curve of the Kizilirmak River

Journal of flood risk management, 2015-03, Vol.8 (1), p.71-86

2015

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Wavelet and neuro-fuzzy conjunction model for precipitation forecasting

Journal of hydrology (Amsterdam), 2007-08, Vol.342 (1), p.199-212

2007

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Wave height predictions in complex sea flows through soft-computing models: Case study of Persian Gulf

Ocean engineering, 2022-02, Vol.245, p.110467, Article 110467

2022

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Estimating soil wetting patterns for drip irrigation using genetic programming

Spanish journal of agricultural research : SJAR, 2012-12, Vol.10 (4), p.1155-1166

2012

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Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation

Hydrological sciences journal, 2004-12, Vol.49 (6), p.1025-1040

Kisi, Oe

2004

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Comparison of two different data-driven techniques in modeling lake level fluctuations in Turkey

Journal of hydrology (Amsterdam), 2009-11, Vol.378 (3), p.253-262

2009

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Evolutionary fuzzy models for river suspended sediment concentration estimation

Journal of hydrology (Amsterdam), 2009-06, Vol.372 (1), p.68-79

Kisi, O

2009

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Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)

Journal of hydrology (Amsterdam), 2012-01, Vol.414, p.302-316

2012

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Methods to improve the neural network performance in suspended sediment estimation

Journal of hydrology (Amsterdam), 2006-02, Vol.317 (3), p.221-238

2006

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Evapotranspiration modelling using support vector machines

Hydrological sciences journal, 2009-10, Vol.54 (5), p.918-928

2009

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Comments on ''Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques'' by A. Moghaddamnia, M. Ghafari Gousheh, J. Piri, S. Amin, D. Han [Adv. Water Resour. 32 (2009) 88-97]

Advances in water resources, 2009-06, Vol.32 (6), p.966-966

Kisi, O

2009

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Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique

Advances in engineering software (1992), 2010-02, Vol.41 (2), p.154-160

2010

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Estimation of Wind Drift and Evaporation Losses from Sprinkler Irrigation systemS by Different Data‐Driven Methods

Irrigation and drainage, 2018-04, Vol.67 (2), p.222-232

2018

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Modelling daily suspended sediment of rivers in Turkey using several data-driven techniques

Hydrological sciences journal, 2008-12, Vol.53 (6), p.1270-1285

2008

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Trend Analysis of Maximum Hydrologic Drought Variables Using Mann–Kendall and Şen's Innovative Trend Method

Daily pan evaporation modelling using a neuro-fuzzy computing technique

Suspended sediment concentration estimation by an adaptive neuro-fuzzy and neural network approaches using hydro-meteorological data

ON ALMOST CONVERGENCE OF FUZZY VARIABLES

Impurity effect on clear water evaporation: toward modelling wastewater evaporation using ANN, ANFIS-SC and GEP techniques

Suspended sediment estimation using neuro-fuzzy and neural network approaches

Daily streamflow prediction using optimally pruned extreme learning machine

Some observations on statistical convergence of uncertain double sequences of fuzzy numbers

S_{\lambda}(\mathcal{I})$-convergence of complex uncertain sequence

River suspended sediment concentration modeling using a neural differential evolution approach

A genetic programming approach to suspended sediment modelling

Comparison of different methods for developing a stage-discharge curve of the Kizilirmak River

Wavelet and neuro-fuzzy conjunction model for precipitation forecasting

Wave height predictions in complex sea flows through soft-computing models: Case study of Persian Gulf

Estimating soil wetting patterns for drip irrigation using genetic programming

Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation

Comparison of two different data-driven techniques in modeling lake level fluctuations in Turkey

Evolutionary fuzzy models for river suspended sediment concentration estimation

Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)

Methods to improve the neural network performance in suspended sediment estimation

Evapotranspiration modelling using support vector machines

Comments on ''Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques'' by A. Moghaddamnia, M. Ghafari Gousheh, J. Piri, S. Amin, D. Han [Adv. Water Resour. 32 (2009) 88-97]

Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique

Estimation of Wind Drift and Evaporation Losses from Sprinkler Irrigation systemS by Different Data‐Driven Methods

Modelling daily suspended sediment of rivers in Turkey using several data-driven techniques

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