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Ozgur Kisi
Ozgur Kisi
Department of Civil Engineering, University of Applied Sciences, Lübeck, Germany
E-mail confirmado em th-luebeck.de
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Applications of hybrid wavelet–artificial intelligence models in hydrology: a review
V Nourani, AH Baghanam, J Adamowski, O Kisi
Journal of Hydrology 514, 358-377, 2014
8002014
Streamflow forecasting using different artificial neural network algorithms
Ö Kişi
Journal of Hydrologic Engineering 12 (5), 532-539, 2007
4882007
Two hybrid artificial intelligence approaches for modeling rainfall–runoff process
V Nourani, Ö Kisi, M Komasi
Journal of Hydrology 402 (1-2), 41-59, 2011
4322011
Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base de réseau de neurones
O Kisi
Hydrological sciences journal 50 (4), 2005
4312005
Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey
O Kisi, M Ay
Journal of Hydrology 513, 362-375, 2014
4102014
River flow modeling using artificial neural networks
Ö Kişi
Journal of Hydrologic Engineering 9 (1), 60-63, 2004
4092004
A wavelet-support vector machine conjunction model for monthly streamflow forecasting
O Kisi, M Cimen
Journal of Hydrology 399 (1-2), 132-140, 2011
3812011
Wavelet and neuro-fuzzy conjunction model for precipitation forecasting
T Partal, Ö Kişi
Journal of Hydrology 342 (1-2), 199-212, 2007
3802007
Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution
O Kisi, KS Parmar
Journal of Hydrology 534, 104-112, 2016
3682016
SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment
H Tabari, O Kisi, A Ezani, PH Talaee
Journal of Hydrology 444, 78-89, 2012
3582012
Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation/Prévision et estimation de la concentration …
Ö Kisi
Hydrological Sciences Journal 49 (6), 2004
3412004
Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
Y Seo, S Kim, O Kisi, VP Singh
Journal of Hydrology 520, 224-243, 2015
3382015
Modeling rainfall-runoff process using soft computing techniques
O Kisi, J Shiri, M Tombul
Computers & Geosciences 51, 108-117, 2013
3302013
Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq
ZM Yaseen, O Jaafar, RC Deo, O Kisi, J Adamowski, J Quilty, A El-Shafie
Journal of Hydrology 542, 603-614, 2016
3252016
Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
RC Deo, O Kisi, VP Singh
Atmospheric Research 184, 149-175, 2017
3142017
Solar radiation prediction using different techniques: model evaluation and comparison
L Wang, O Kisi, M Zounemat-Kermani, GA Salazar, Z Zhu, W Gong
Renewable and Sustainable Energy Reviews 61, 384-397, 2016
3072016
A genetic programming approach to suspended sediment modelling
A Aytek, Ö Kişi
Journal of hydrology 351 (3-4), 288-298, 2008
2902008
Flow prediction by three back propagation techniques using k-fold partitioning of neural network training data
HK Cigizoglu, Ö Kişi
Hydrology Research 36 (1), 49-64, 2005
2832005
Comparison of three back-propagation training algorithms for two case studies
Ö Kişi, E Uncuoğlu
CSIR, 2005
2832005
Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs
RM Adnan, Z Liang, S Heddam, M Zounemat-Kermani, O Kisi, B Li
Journal of Hydrology 586, 124371, 2020
2722020
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