Keyword artificial neural networks
ORIGINAL RESEARCH
Applying an Artificial Neural Network (ANN) to Assess Soil Salinity and Temperature Variability in Agricultural Areas of a Mountain Catchment
Wiktor Halecki1,2, Dariusz Młyński3, Marek Ryczek1, Edyta Kruk1, Artur Radecki-Pawlik4
Pol. J. Environ. Stud. 2017;26(6):2545–2554
ORIGINAL RESEARCH
Determining Mechanical and Physical Properties of Phospho-Gypsum and Perlite-Admixtured Plaster Using an Artificial Neural Network and Regression Models
Başak Mesci Oktay, Elif Odabaş
Pol. J. Environ. Stud. 2017;26(5):2425–2430
ORIGINAL RESEARCH
Application of Selected Methods of Artificial Intelligence to Activated Sludge Settleability Predictions
Bartosz Szeląg, Jarosław Gawdzik
Pol. J. Environ. Stud. 2016;25(4):1709–1714
ORIGINAL RESEARCH
Using Steepness Coefficient to Improve Artificial Neural Network Performance for Environmental Modeling
Selami Demir, Aykut Karadeniz, Neslihan Manav Demir
Pol. J. Environ. Stud. 2016;25(4):1467–1477
ORIGINAL RESEARCH
Applying an Artifi cial Neural Network to Predict Coagulation Capacity of Reactive Dyeing Wastewater by Chitosan
Ha Manh Bui1, Huong Thi Giang Duong1, Cuong Duc Nguyen2
Pol. J. Environ. Stud. 2016;25(2):545–555
ORIGINAL RESEARCH
Artificial Neural Network Modeling of Dissolved Oxygen Concentrations in a Turkish Watershed
Adem Bayram, Murat Kankal
Pol. J. Environ. Stud. 2015;24(4):1507–1515
ORIGINAL RESEARCH
Applying Artificial Neural Networks for the Estimation of Chlorophyll-a Concentrations along the Istanbul Coast
Ruya Samli1, Nuket Sivri2, Selcuk Sevgen1, Vildan Zulal Kiremitci2
Pol. J. Environ. Stud. 2014;23(4):1281–1287
ORIGINAL RESEARCH
Prediction Models for Minimum and Maximum Dry Density of Non-Cohesive Soils
Maria J. Sulewska
Pol. J. Environ. Stud. 2010;19(4):797–804
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