Theo dơi
University of Tabriz and Near East University
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Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic …
SA Ali, F Parvin, QB Pham, M Vojtek, J Vojteková, R Costache, NTT Linh, ...
Ecological Indicators 117, 106620, 2020
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
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
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, 1-14, 2016
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
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
MA Ghorbani, RC Deo, ZM Yaseen, M H. Kashani, B Mohammadi
Theoretical and applied climatology 133, 1119-1131, 2018
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
SA Ali, F Parvin, J Vojteková, R Costache, NTT Linh, QB Pham, M Vojtek, ...
Geoscience Frontiers 12 (2), 857-876, 2021
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
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
A hybrid support vector regression–firefly model for monthly rainfall forecasting
A Danandeh Mehr, V Nourani, V Karimi Khosrowshahi, MA Ghorbani
International Journal of Environmental Science and Technology 16, 335-346, 2019
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
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
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, 1-16, 2017
Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model
A Malik, A Kumar, S Kim, MH Kashani, V Karimi, A Sharafati, MA Ghorbani, ...
Engineering Applications of Computational Fluid Mechanics 14 (1), 323-338, 2020
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
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
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
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
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, 107-114, 2013
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, 1-13, 2016
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