Search Results - "Kişi, Özgur"

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  1. 1

    Application of Artificial Intelligence to Estimate Daily Pan Evaporation Using Available and Estimated Climatic Data in the Khozestan Province (South Western Iran) by Shiri, Jalal, Kişi, Özgur

    “…Estimation of evaporation, a major component of the hydrologic cycle, is required for a variety of purposes in water resources development and management. This…”
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    Journal Article
  2. 2

    Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for forecasting precipitation based on large-scale climate signals by Choubin, Bahram, Khalighi-Sigaroodi, Shahram, Malekian, Arash, Kişi, Özgür

    Published in Hydrological sciences journal (25-04-2016)
    “…Nowadays, mathematical models are widely used to predict climate processes, but little has been done to compare the models. In this study, multiple linear…”
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  3. 3

    Stream flow forecasting using neuro-wavelet technique by KISI, Ozgür

    Published in Hydrological processes (30-09-2008)
    “…This paper proposes the application of a neuro-wavelet technique for modelling monthly stream flows. The neuro-wavelet model is improved by combining two…”
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    Journal Article
  4. 4

    Precipitation forecasting using classification and regression trees (CART) model: a comparative study of different approaches by Choubin, Bahram, Zehtabian, Gholamreza, Azareh, Ali, Rafiei-Sardooi, Elham, Sajedi-Hosseini, Farzaneh, Kişi, Özgür

    Published in Environmental earth sciences (01-04-2018)
    “…Interest in semiarid climate forecasting has prominently grown due to risks associated with above average levels of precipitation amount. Longer-lead forecasts…”
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  5. 5

    Evaluation of data driven models for river suspended sediment concentration modeling by Zounemat-Kermani, Mohammad, Kişi, Özgür, Adamowski, Jan, Ramezani-Charmahineh, Abdollah

    Published in Journal of hydrology (Amsterdam) (01-04-2016)
    “…•Suspended sediment concentration [SS]d models were developed.•3 ANN, 4 SVR, 1 MLR, and 1 SRC were explored.•CG and BFGS-ANN and RBF-SVR models were the most…”
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  6. 6

    Daily pan evaporation modelling using a neuro-fuzzy computing technique by Kisi, O

    Published in Journal of hydrology (Amsterdam) (15-10-2006)
    “…Evaporation, as a major component of the hydrologic cycle, is important in water resources development and management. This paper investigates the abilities of…”
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  7. 7

    Evolutionary neural networks for monthly pan evaporation modeling by Kisi, Oezguer

    Published in Journal of hydrology (Amsterdam) (19-08-2013)
    “…•Evolutionary neural networks (ENN) is used for modeling pan evaporation.•Data from two stations of Turkey are used in the study.•ENN models are compared with…”
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  8. 8

    A genetic programming approach to suspended sediment modelling by Aytek, Ali, Kişi, Özgür

    Published in Journal of hydrology (Amsterdam) (15-04-2008)
    “…This study proposes genetic programming (GP) as a new approach for the explicit formulation of daily suspended sediment–discharge relationship. Empirical…”
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  9. 9

    River suspended sediment concentration modeling using a neural differential evolution approach by Kisi, O

    Published in Journal of hydrology (Amsterdam) (28-07-2010)
    “…In this study, neural differential evolution (NDE) models are proposed to estimate suspended sediment concentration. NDE models are improved by combining two…”
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  10. 10

    Modeling monthly pan evaporations using fuzzy genetic approach by Kişi, Özgür, Tombul, Mustafa

    Published in Journal of hydrology (Amsterdam) (16-01-2013)
    “…► We estimate monthly pan evaporation (PE) by using fuzzy genetic (FG) approach. ► FG estimates are compared with neuro-fuzzy (NF) and neural network (NN)…”
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  11. 11

    Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran by Ashrafzadeh, Afshin, Kişi, Ozgur, Aghelpour, Pouya, Biazar, Seyed Mostafa, Masouleh, Mohammadreza Askarizad

    “…AbstractEvapotranspiration estimation and forecasting is a key step in water management projects, especially in water-scarce countries such as Iran. Seasonal…”
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  12. 12

    Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks by KISI, Ozgür

    Published in Hydrological processes (15-01-2009)
    “…This paper reports on investigations of the abilities of three different artificial neural network (ANN) techniques, multi-layer perceptrons (MLP), radial…”
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  13. 13
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  15. 15

    Daily pan evaporation modeling using linear genetic programming technique by Guven, Aytac, Kişi, Özgür

    Published in Irrigation science (01-03-2011)
    “…This paper investigates the ability of linear genetic programming (LGP), which is an extension to genetic programming (GP) technique, in daily pan evaporation…”
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    Journal Article
  16. 16

    Wavelet and neuro-fuzzy conjunction model for precipitation forecasting by Partal, Turgay, Kişi, Özgür

    Published in Journal of hydrology (Amsterdam) (15-08-2007)
    “…A new conjunction method (wavelet-neuro-fuzzy) for precipitation forecast is proposed in this study. The conjunction method combines two methods, discrete…”
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  17. 17

    Evapotranspiration modeling using a wavelet regression model by Kisi, Ozgur

    Published in Irrigation science (01-05-2011)
    “…The present study proposes a simple wavelet regression (WR) approach for modeling reference evapotranspiration (ET 0 ). The WR model was improved combining two…”
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  18. 18

    Wavelet regression model as an alternative to neural networks for monthly streamflow forecasting by Kisi, Ozgur

    Published in Hydrological processes (15-12-2009)
    “…The accuracy of the wavelet regression (WR) model in monthly streamflow forecasting is investigated in the study. The WR model is improved combining the two…”
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  19. 19

    Spatial evaluation of climate change-induced drought characteristics in different climates based on De Martonne Aridity Index in Iran by Jafarpour, Mohammad, Adib, Arash, Lotfirad, Morteza, Kisi, Özgur

    Published in Applied water science (01-06-2023)
    “…In recent years, greenhouse gas emissions have caused extensive changes in the global climate. Climate change leads to extreme events, such as droughts. The…”
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  20. 20

    Estimation of dissolved oxygen by using neural networks and neuro fuzzy computing techniques by Ay, Murat, Kişi, Özgür

    Published in KSCE journal of civil engineering (01-07-2017)
    “…Dissolved oxygen, one of the most important water quality parameters, is a crucial parameter for the aquatic ecosystems. In this study, some advanced…”
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