M.A.Ghorbani
M.A.Ghorbani
University of Tabriz and Near East University
Verified email at tabrizu.ac.ir
Title
Cited by
Cited by
Year
Sea water level forecasting using genetic programming and comparing the performance with artificial neural networks
MA Ghorbani, R Khatibi, A Aytek, O Makarynskyy, J Shiri
Computers & Geosciences 36 (5), 620-627, 2010
1452010
Investigating chaos in river stage and discharge time series
R Khatibi, B Sivakumar, MA Ghorbani, O Kisi, K Koçak, DF Zadeh
Journal of Hydrology 414, 108-117, 2012
932012
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
MA Ghorbani, RC Deo, ZM Yaseen, MH Kashani, B Mohammadi
Theoretical and applied climatology 133 (3-4), 1119-1131, 2018
882018
A comparative study of artificial neural network (MLP, RBF) and support vector machine models for river flow prediction
MA Ghorbani, HA Zadeh, M Isazadeh, O Terzi
Environmental Earth Sciences 75 (6), 476, 2016
812016
Estimating daily pan evaporation from climatic data of the State of Illinois, USA using adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)
J Shiri, W Dierickx, A Pour-Ali Baba, S Neamati, MA Ghorbani
Hydrology Research 42 (6), 491-502, 2011
772011
A probe into the chaotic nature of daily streamflow time series by correlation dimension and largest Lyapunov methods
MA Ghorbani, O Kisi, M Aalinezhad
Applied Mathematical Modelling 34 (12), 4050-4057, 2010
722010
Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops
J Seyedmohammadi, F Sarmadian, AA Jafarzadeh, MA Ghorbani, ...
Geoderma 310, 178-190, 2018
692018
Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops
FS Javad Seyedmohammadi, Fereydoon Sarmadian, Ali Asghar Jafarzadeh ...
GEODERMA 310, 178-190, 2017
69*2017
Comparison of three artificial intelligence techniques for discharge routing
R Khatibi, MA Ghorbani, MH Kashani, O Kisi
Journal of Hydrology 403 (3-4), 201-212, 2011
692011
Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station …
RC Deo, MA Ghorbani, S Samadianfard, T Maraseni, M Bilgili, M Biazar
Renewable energy 116, 309-323, 2018
672018
Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point
MA Ghorbani, S Shamshirband, DZ Haghi, A Azani, H Bonakdari, ...
Soil and Tillage Research 172, 32-38, 2017
662017
Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen …
B Raheli, MT Aalami, A El-Shafie, MA Ghorbani, RC Deo
Environmental Earth Sciences 76 (14), 503, 2017
522017
A hybrid support vector regression–firefly model for monthly rainfall forecasting
AD Mehr, V Nourani, VK Khosrowshahi, MA Ghorbani
International Journal of Environmental Science and Technology 16 (1), 335-346, 2019
442019
Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey
OT MA Ghorbani, Ravinesh C. Deo, Vahid Karimi, Zaher Mundher Yaseen
Stochastic Environmental Research and Risk Assessment, 2017
42*2017
Modeling river discharge time series using support vector machine and artificial neural networks
MA Ghorbani, R Khatibi, A Goel, MH FazeliFard, A Azani
Environmental Earth Sciences 75 (8), 685, 2016
422016
Relative importance of parameters affecting wind speed prediction using artificial neural networks
MA Ghorbani, R Khatibi, B Hosseini, M Bilgili
Theoretical and Applied Climatology 114 (1), 107-114, 2013
392013
Learning from multiple models using artificial intelligence to improve model prediction accuracies: application to river flows
MA Ghorbani, R Khatibi, V Karimi, ZM Yaseen, M Zounemat-Kermani
Water resources management 32 (13), 4201-4215, 2018
352018
Inter-comparison of time series models of lake levels predicted by several modeling strategies
R Khatibi, MA Ghorbani, L Naghipour, V Jothiprakash, TA Fathima, ...
Journal of Hydrology 511, 530-545, 2014
332014
Spatial modeling of soil salinity using multiple linear regression, ordinary kriging and artificial neural network methods
M Shahabi, AA Jafarzadeh, MR Neyshabouri, MA Ghorbani, ...
Archives of Agronomy and Soil Science 63 (2), 151-160, 2017
322017
Dew point temperature estimation: application of artificial intelligence model integrated with nature-inspired optimization algorithms
SR Naganna, PC Deka, MA Ghorbani, SM Biazar, N Al-Ansari, ...
Water 11 (4), 742, 2019
312019
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