Ö. Kisi
Publications
64
h-index
35
Citations
2,943
Highly Influential Citations
102
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Generalized regression neural networks for evapotranspiration modelling
Ö. Kisi
Mathematics
1 December 2006
Abstract The potential is investigated of the generalized regression neural networks (GRNN) technique in modelling of reference evapotranspiration (ET0) obtained using the FAO Penman-Monteith (PM)… Expand
164 Citations
11
Forecasting daily lake levels using artificial intelligence approaches
Ö. Kisi, J. Shiri, Bagher Nikoofar
Computer Science
Comput. Geosci.

1 April 2012
TLDR
Three artificial intelligence approaches, namely artificial neural networks (ANNs), adaptive-neuro-fuzzy inference system (ANFIS), and gene expression programming (GEP), were applied to forecast daily lake-level variations up to 3-day ahead time intervals, which demonstrated the superiority of GEP, ANFIS, and ANN models over ARMA models. Expand
125 Citations
9
River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques
Ö. Kisi, J. Shiri
Environmental Science, Computer Science
Comput. Geosci.
1 June 2012
TLDR
Compared the accuracy of three different soft computing methods, Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Gene Expression Programming, in estimating daily suspended sediment concentration on rivers by using hydro-meteorological data, the Conjugate gradient algorithm was found to be better than the others. Expand
95 Citations
7
Daily River Flow Forecasting Using Artificial Neural Networks and Auto-Regressive Models
Ö. Kisi
Environmental Science
14 January 2005
Estimating the flows of rivers can have a significant economic impact, as this can help in agricultural water management and in providing protection from water shortages and possible flood damage.… Expand
103 Citations
7
PDF
Precipitation forecasting by using wavelet-support vector machine conjunction model
Ö. Kisi, M. Cimen
Computer ScienceEng. Appl. Artif. Intell.
1 June 2012
TLDR
The comparison results indicate that the conjunction method could increase the forecast accuracy and perform better than the single support vector machine for one-day-ahead precipitation forecasting. Expand
110 Citations
5
Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations
J. Shiri, Ö. Kisi
Mathematics, Computer ScienceComput. Geosci.
1 October 2011
TLDR
This paper investigates the ability of genetic programming (GP) and adaptive neuro-fuzzy inference system (ANFIS) techniques for groundwater depth forecasting and found that the GP and ANFIS models could be employed successfully in forecasting water table depth fluctuations. Expand
121 Citations
5
PDF
Daily pan evaporation modeling using linear genetic programming technique
Aytac Guven, Ö. Kisi
Engineering
Irrigation Science

1 March 2011
This paper investigates the ability of linear genetic programming (LGP), which is an extension to genetic programming (GP) technique, in daily pan evaporation modeling. The daily climatic data, air… Expand
84 Citations
4
Modeling monthly evaporation using two different neural computing techniques
Ö. Kisi
Engineering
Irrigation Science

15 May 2009
Two different artificial neural network (ANN) techniques, multi-layer perceptrons (MLP) and radial basis neural networks (RBNN), are employed in the estimation of monthly pan evaporation. The monthly… Expand
66 Citations
4
Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia
S. Karimi, Ö. Kisi, J. Shiri, O. Makarynskyy
Mathematics, Computer ScienceComput. Geosci.
1 March 2013
TLDR
Multi linear regression technique was used for selecting the optimal input combinations (lag times) of hourly sea level and results indicated that triangular membership function was optimal for predictions with the ANFIS models while adaptive learning rate and Levenberg-Marquardt were most suitable for training the ANN models.Expand
82 Citations
4
PDF
Estimation of dissolved oxygen by using neural networks and neuro fuzzy computing techniques
Murat Ay, Ö. Kisi
Environmental Science
1 July 2017
Dissolved oxygen, one of the most important water quality parameters, is a crucial parameter for the aquatic ecosystems. In this study, some advanced chemometric techniques included in a multi-layer… Expand
31 Citations
4
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