Theo dơi
Hadi Sanikhani
Hadi Sanikhani
Dept. of Water Sciences and Engineering, Faculty of Agriculture, University of Kurdistan, Sanandaj
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Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
River flow estimation and forecasting by using two different adaptive neuro-fuzzy approaches
H Sanikhani, O Kisi
Water resources management 26, 1715-1729, 2012
Temperature-based modeling of reference evapotranspiration using several artificial intelligence models: application of different modeling scenarios
H Sanikhani, O Kisi, E Maroufpoor, ZM Yaseen
Theoretical and applied climatology 135, 449-462, 2019
Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data
O Kisi, H Sanikhani, M Zounemat-Kermani, F Niazi
Computers and Electronics in Agriculture 115, 66-77, 2015
Non-tuned data intelligent model for soil temperature estimation: a new approach
OK Hadi Sanikhani, Ravinesh C Deo, Zaher Mundher Yaseen, Okan Eray
Geoderma 330, 52-64, 2018
Novel hybrid data-intelligence model for forecasting monthly rainfall with uncertainty analysis
ZM Yaseen, I Ebtehaj, S Kim, H Sanikhani, H Asadi, MI Ghareb, ...
Water 11 (3), 502, 2019
Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors
H Sanikhani, RC Deo, P Samui, O Kisi, C Mert, R Mirabbasi, S Gavili, ...
Computers and Electronics in Agriculture 152, 242-260, 2018
Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques
O Kisi, H Sanikhani, M Cobaner
Theoretical and Applied Climatology 129, 833-848, 2017
Trend analysis of rainfall pattern over the Central India during 1901–2010
SGM Hadi Sanikhani, Ozgur Kisi, Rasoul Mirabbasi
Arabian Journal of Geosciences 11 (16), 1-14, 2018
Water quality variations in different climates of Iran: toward modeling total dissolved solid using soft computing techniques
M Montaseri, SZZ Ghavidel, H Sanikhani
Stochastic Environmental Research and Risk Assessment, 1-21, 2018
Estimation of daily pan evaporation using two different adaptive neuro-fuzzy computing techniques
H Sanikhani, O Kisi, MR Nikpour, Y Dinpashoh
Water resources management 26, 4347-4365, 2012
Evaluation of several soft computing methods in monthly evapotranspiration modelling
S Gavili, H Sanikhani, O Kisi, MH Mahmoudi
Meteorological Applications 25 (1), 128-138, 2018
Prediction of long‐term monthly precipitation using several soft computing methods without climatic data
O Kisi, H Sanikhani
International Journal of Climatology 35 (14), 4139-4150, 2015
Monthly Long-Term Rainfall Estimation in Central India using M5Tree, MARS, LSSVR, ANN and GEP Models
SGM Rasoul Mirabbasi, Ozgur Kisi, Hadi Sanikhani
Neural Computing and Applications, 1-20, 2018
Modelling long‐term monthly temperatures by several data‐driven methods using geographical inputs
O Kisi, H Sanikhani
International Journal of Climatology 35 (13), 3834-3846, 2015
Modeling wetted areas of moisture bulb for drip irrigation systems: An enhanced empirical model and artificial neural network
B Karimi, P Mohammadi, H Sanikhani, SQ Salih, ZM Yaseen
Computers and Electronics in Agriculture 178, 105767, 2020
Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments
SQ Salih, A Sharafati, I Ebtehaj, H Sanikhani, R Siddique, RC Deo, ...
Hydrological Sciences Journal 65 (7), 1145-1157, 2020
The analysis of trend variations of reference evapotranspiration via eliminating the significance effect of all autocorrelation coefficients
B Amirataee, M Montaseri, H Sanikhani
Theoretical and Applied Climatology 126, 131-139, 2016
Prediction of river flow using hybrid neuro-fuzzy models
A Azad, S Farzin, H Kashi, H Sanikhani, H Karami, O Kisi
Arabian Journal of Geosciences 11, 1-14, 2018
Novel approaches for air temperature prediction: a comparison of four hybrid evolutionary fuzzy models
A Azad, H Kashi, S Farzin, VP Singh, O Kisi, H Karami, H Sanikhani
Meteorological Applications 27 (1), e1817, 2020
Estimation of Wind drift and evaporation losses from sprinkler irrigation systems by different data‐driven methods
E Maroufpoor, H Sanikhani, S Emamgholizadeh, Ö Kişi
Irrigation and drainage 67 (2), 222-232, 2018
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