Theo dơi
Ozgur Kisi
Ozgur Kisi
Department of Civil Engineering, University of Applied Sciences, Lübeck, Germany
Email được xác minh tại
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
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
Streamflow forecasting using different artificial neural network algorithms
Ö Kişi
Journal of Hydrologic Engineering 12 (5), 532-539, 2007
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
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
River flow modeling using artificial neural networks
Ö Kişi
Journal of Hydrologic Engineering 9 (1), 60-63, 2004
A wavelet-support vector machine conjunction model for monthly streamflow forecasting
O Kisi, M Cimen
Journal of Hydrology 399 (1-2), 132-140, 2011
Wavelet and neuro-fuzzy conjunction model for precipitation forecasting
T Partal, Ö Kişi
Journal of Hydrology 342 (1-2), 199-212, 2007
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
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
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
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
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
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
Modeling rainfall-runoff process using soft computing techniques
O Kisi, J Shiri, M Tombul
Computers & Geosciences 51, 108-117, 2013
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
A genetic programming approach to suspended sediment modelling
A Aytek, Ö Kişi
Journal of hydrology 351 (3-4), 288-298, 2008
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
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
Comparison of three back-propagation training algorithms for two case studies
Ö Kişi, E Uncuoğlu
CSIR, 2005
Methods to improve the neural network performance in suspended sediment estimation
HK Cigizoglu, Ö Kisi
Journal of hydrology 317 (3-4), 221-238, 2006
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