S
Saeed Samadianfard
Researcher at University of Tabriz
Publications - 47
Citations - 1653
Saeed Samadianfard is an academic researcher from University of Tabriz. The author has contributed to research in topics: Computer science & Multilayer perceptron. The author has an hindex of 18, co-authored 40 publications receiving 881 citations.
Papers
More filters
Journal ArticleDOI
Predicting Standardized Streamflow index for hydrological drought using machine learning models
Shahabbodin Shamshirband,Sajjad Hashemi,Hana Salimi,Saeed Samadianfard,Esmaeil Asadi,Sadra Shadkani,Katayoun Kargar,Amir Mosavi,Narjes Nabipour,Kwok Wing Chau +9 more
TL;DR: Three indices of drought are modeled using Support Vector Regression, Gene Expression Programming, and M5 model trees and the results indicate that SPI delivered higher accuracy than SSI.
Journal ArticleDOI
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 data
Ravinesh C. Deo,Mohammad Ali Ghorbani,Mohammad Ali Ghorbani,Saeed Samadianfard,Tek Narayan Maraseni,Mehmet Bilgili,Mustafa Biazar +6 more
TL;DR: In this paper, a multilayer perceptron (MLP) hybrid model integrated with the Firefly Optimizer algorithm was used to predict wind speed at target sites in north-west Iran using a limited set of historical (monthly) data (2004-2014) for a group of neighboring stations.
Journal ArticleDOI
Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis
Sevda Shabani,Saeed Samadianfard,Mohammad Taghi Sattari,Amir Mosavi,Shahaboddin Shamshirband,Tibor Kmet,Annamária R. Várkonyi-Kóczy +6 more
TL;DR: In this paper, four machine learning methods of Gaussian Process Regression (GPR), K-Nearest Neighbors (KNN), Random Forest (RF) and SVR were used to predict the pan evaporation (PE).
Journal ArticleDOI
Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm
Saeed Samadianfard,Sajjad Hashemi,Katayoun Kargar,Mojtaba Izadyar,Ali Mostafaeipour,Amir Mosavi,Narjes Nabipour,Shahaboddin Shamshirband +7 more
TL;DR: It was concluded that the WOA optimization algorithm could improve the prediction accuracy of the MLP model and may be recommended for accurate wind speed prediction.
Journal ArticleDOI
Groundwater quality assessment for sustainable drinking and irrigation
Esmaeil Asadi,Mohammad Isazadeh,Saeed Samadianfard,Mohammad Firuz Ramli,Amir Mosavi,Amir Mosavi,Amir Mosavi,Narjes Nabipour,Shahaboddin Shamshirband,Éva Hajnal,Kwok Wing Chau +10 more
TL;DR: A groundwater compatibility study was conducted by analyzing Electrical conductivity (EC), total dissolved solids (TDS), Chloride (Cl), Calcium (Ca), Magnesium (Mg), Sodium (Na), Potassium (K), Sulfate (SO4), Total hardness (TH), Bicarbonate (HCO3), pH, carbonate (CO3) and Sodium Adsorption Ratio (SAR) obtained from 39 wells in the time period from 2003 to 2014 as discussed by the authors.