1-20 of 20
Ozgur Kisi
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

The viability of co-active fuzzy inference system model for monthly reference evapotranspiration estimation: case study of Uttarakhand State

Anurag Malik, Anil Kumar, Mohammad Ali Ghorbani, Mahsa H. Kashani, Ozgur Kisi ...
Hydrology Research (2019) 50 (6): 1623–1644.
DOI: https://doi.org/10.2166/nh.2019.059
Date Online: 08 October 2019
FIGURES | View All (11)
View article PDF
Journal Articles

Application of ensemble empirical mode decomposition based on machine learning methodologies in forecasting monthly pan evaporation

Mohammad Rezaie-Balf, Ozgur Kisi, Lloyd H. C. Chua
Hydrology Research (2019) 50 (2): 498–516.
DOI: https://doi.org/10.2166/nh.2018.050
Date Online: 08 November 2018
FIGURES | View All (9)
View article PDF
Journal Articles

Hydraulic conductivity estimation via the AI-based numerical model optimization using the harmony search algorithm

Alireza Docheshmeh Gorgij, Ozgur Kisi, Mohammad Mehdi Moayeri, Asghar Asghari Moghaddam
Hydrology Research (2018) 49 (5): 1669–1683.
DOI: https://doi.org/10.2166/nh.2018.147
Date Online: 12 February 2018
FIGURES | View All (13)
View article PDF
Journal Articles

Forecasting daily streamflow values: assessing heuristic models

Sepideh Karimi, Jalal Shiri, Ozgur Kisi, Tongren Xu
Hydrology Research (2018) 49 (3): 658–669.
DOI: https://doi.org/10.2166/nh.2017.111
Date Online: 24 November 2017
FIGURES | View All (4)
View article PDF
Journal Articles

Comparison of multi-gene genetic programming and dynamic evolving neural-fuzzy inference system in modeling pan evaporation

Okan Eray, Cihan Mert, Ozgur Kisi
Hydrology Research (2018) 49 (4): 1221–1233.
DOI: https://doi.org/10.2166/nh.2017.076
Date Online: 14 November 2017
FIGURES | View All (10)
View article PDF
Journal Articles

New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

Mohammad Rezaie-Balf, Ozgur Kisi
Hydrology Research (2018) 49 (3): 939–953.
DOI: https://doi.org/10.2166/nh.2017.283
Date Online: 27 March 2017
FIGURES | View All (9)
View article PDF
Journal Articles

Groundwater quality modeling using neuro-particle swarm optimization and neuro-differential evolution techniques

Ozgur Kisi, Ali Keshavarzi, Jalal Shiri, Mohammad Zounemat-Kermani, El-Sayed Ewis Omran
Hydrology Research (2017) 48 (6): 1508–1519.
DOI: https://doi.org/10.2166/nh.2017.206
Date Online: 03 March 2017
FIGURES | View All (6)
View article PDF
Journal Articles

Modifying Hargreaves–Samani equation with meteorological variables for estimation of reference evapotranspiration in Turkey

Murat Cobaner, Hatice Citakoğlu, Tefaruk Haktanir, Ozgur Kisi
Hydrology Research (2017) 48 (2): 480–497.
DOI: https://doi.org/10.2166/nh.2016.217
Date Online: 27 May 2016
View article PDF
Includes: Supplementary data
Journal Articles

Groundwater budget forecasting, using hybrid wavelet-ANN-GP modelling: a case study of Azarshahr Plain, East Azerbaijan, Iran

Alireza Docheshmeh Gorgij, Ozgur Kisi, Asghar Asghari Moghaddam
Hydrology Research (2017) 48 (2): 455–467.
DOI: https://doi.org/10.2166/nh.2016.202
Date Online: 03 May 2016
View article PDF
Journal Articles

Assessment of rainfall aggregation and disaggregation using data-driven models and wavelet decomposition

Sungwon Kim, Ozgur Kisi, Youngmin Seo, Vijay P. Singh, Chang-Joon Lee
Hydrology Research (2017) 48 (1): 99–116.
DOI: https://doi.org/10.2166/nh.2016.314
Date Online: 01 March 2016
View article PDF
Journal Articles

Local vs. external training of neuro-fuzzy and neural networks models for estimating reference evapotranspiration assessed through k -fold testing

Jalal Shiri, Pau Marti, Amir Hossein Nazemi, Ali Ashraf Sadraddini, Ozgur Kisi ...
Hydrology Research (2015) 46 (1): 72–88.
DOI: https://doi.org/10.2166/nh.2013.112
Date Online: 20 December 2013
FIGURES | View All (7)
View article PDF
Journal Articles

A genetic programming technique for lake level modeling

Ali Aytek, Ozgur Kisi, Aytac Guven
Hydrology Research (2014) 45 (4-5): 529–539.
DOI: https://doi.org/10.2166/nh.2013.069
Date Online: 20 September 2013
View article PDF
Journal Articles

Estimation of daily dew point temperature using genetic programming and neural networks approaches

Jalal Shiri, Sungwon Kim, Ozgur Kisi
Hydrology Research (2014) 45 (2): 165–181.
DOI: https://doi.org/10.2166/nh.2013.229
Date Online: 17 August 2013
View article PDF
Journal Articles

Evaluation of different data management scenarios for estimating daily reference evapotranspiration

Jalal Shiri, Ali Ashraf Sadraddini, Amir Hossein Nazemi, Ozgur Kisi, Pau Marti ...
Hydrology Research (2013) 44 (6): 1058–1070.
DOI: https://doi.org/10.2166/nh.2013.154
Date Online: 18 February 2013
View article PDF
Journal Articles

Estimating daily reference evapotranspiration using available and estimated climatic data by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)

Ana Pour-Ali Baba, Jalal Shiri, Ozgur Kisi, Ahmad Fakheri Fard, Sungwon Kim ...
Hydrology Research (2013) 44 (1): 131–146.
DOI: https://doi.org/10.2166/nh.2012.074
Date Online: 30 July 2012
View article PDF
Journal Articles

Wavelet and neuro-fuzzy conjunction model for predicting water table depth fluctuations

Ozgur Kisi, Jalal Shiri
Hydrology Research (2012) 43 (3): 286–300.
DOI: https://doi.org/10.2166/nh.2012.104b
Date Online: 01 June 2012
View article PDF
Journal Articles

Wavelet and neuro-fuzzy conjunction model for streamflow forecasting

Özgür Kişi, Turgay Partal
Hydrology Research (2011) 42 (6): 447–456.
DOI: https://doi.org/10.2166/nh.2011.048
Date Online: 01 December 2011
View article PDF
Journal Articles

River flow forecasting and estimation using different artificial neural network techniques

Özgür Kişi
Hydrology Research (2008) 39 (1): 27–40.
DOI: https://doi.org/10.2166/nh.2008.026
Date Online: 01 February 2008
View article PDF
Journal Articles

Evapotranspiration estimation using feed-forward neural networks

Özgür Kişi
Hydrology Research (2006) 37 (3): 247–260.
DOI: https://doi.org/10.2166/nh.2006.010
Date Online: 01 June 2006
View article PDF
Journal Articles

Flow prediction by three back propagation techniques using k-fold partitioning of neural network training data

H. Kerem Cigizoglu, Özgür Kişi
Hydrology Research (2005) 36 (1): 49–64.
DOI: https://doi.org/10.2166/nh.2005.0005
Date Online: 01 February 2005
View article PDF