O. Kisi
Publications
409
h-index
63
Citations
13,893
Highly Influential Citations
459
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Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process
Vahid Nourani, O. Kisi, M. Komasi
Computer Science
13 May 2011
TLDR
Two hybrid AI-based models which are reliable in capturing the periodicity features of the process are introduced for watershed rainfall–runoff modeling and show that the second model is relatively more appropriate because it uses the multi-scale time series of rainfall and runoff data in the ANFIS input layer. Expand
251 Citations
16
A wavelet-support vector machine conjunction model for monthly streamflow forecasting
O. Kisi, M. Cimen
Mathematics
8 March 2011
Summary The study investigates the accuracy of wavelet and support vector machine conjunction model in monthly streamflow forecasting. The conjunction method is obtained by combining two methods,… Expand
209 Citations
13
Wavelet and neuro-fuzzy conjunction model for precipitation forecasting
T. Partal, O. Kisi
Mathematics
15 August 2007
A new conjunction method (wavelet-neuro-fuzzy) for precipitation forecast is proposed in this study. The conjunction method combines two methods, discrete wavelet transform and neuro-fuzzy. The… Expand
244 Citations
13
Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree
O. Kisi
Mathematics
1 September 2015
Summary Pan evaporation (Ep) modeling is an important issue in reservoir management, regional water resources planning and evaluation of drinking-water supplies. The main purpose of this study is to… Expand
143 Citations
13
Streamflow Forecasting Using Different Artificial Neural Network Algorithms
O. Kisi
Computer Science
1 September 2007
TLDR
Four different ANN algorithms, namely, backpropagation, conjugate gradient, cascade correlation, and Levenberg–Marquardt are applied to continuous streamflow data of the North Platte River in the United States and the results are compared with each other.Expand
307 Citations
12
Wavelet regression model for short-term streamflow forecasting.
O. Kisi
Mathematics
11 August 2010
Summary Wavelet regression (WR) technique is proposed for short-term streamflow forecasting in this study. The WR model is improved combining two methods, discrete wavelet transform and linear… Expand
95 Citations
10
Suspended sediment concentration estimation by an adaptive neuro-fuzzy and neural network approaches using hydro-meteorological data
Murat Cobaner, B. Unal, O. Kisi
Environmental Science
30 March 2009
Correct estimation of sediment volume carried by a river is very important for many water resources projects. Conventional sediment rating curves, however, are not able to provide sufficiently… Expand
149 Citations
9
A genetic programming approach to suspended sediment modelling
Ali Aytek, O. Kisi
Mathematics
15 April 2008
Summary This study proposes genetic programming (GP) as a new approach for the explicit formulation of daily suspended sediment–discharge relationship. Empirical relations such as sediment rating… Expand
180 Citations
9
Stream flow forecasting using neuro‐wavelet technique
O. Kisi
Computer Science
30 September 2008
TLDR
The neuro-wavelet model is improved by combining two methods, discrete wavelet transform and multi-layer perceptron, for one-month-ahead stream flow forecasting and results revealed that the suggested model could increase the forecast accuracy and perform better than the MLP, MLR and AR models. Expand
113 Citations
9
Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
Vahid Nourani, A. H. Baghanam, J. Adamowski, O. Kisi
Computer Science
6 June 2014
TLDR
The present review focuses on defining hybrid modeling, the advantages of such combined models, as well as the history and potential future of their application in hydrology to predict important processes of the hydrologic cycle. Expand
352 Citations
8
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