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Artificial neural networks for estimating daily total suspended sediment in natural streams
(IWA Publishing, 2006)
Estimates of sediment loads in natural streams are required for a wide spectrum of water resources engineering problems from optimal reservoir design to water quality in lakes. Suspended sediment constitutes 75-95% of the ...
The use of neural networks for the prediction of cone penetration resistance of silty sands
(Springer, 2017-12)
In this study, an artificial neural network (ANN) model was developed to predict the cone penetration resistance of silty sands. To achieve this, the data sets reported by Ecemis and Karaman, including the results of three ...
Artificial neural network prediction of tropospheric ozone concentrations in Istanbul, Turkey
(Wiley-VCH Verlag, 2010-10)
Tropospheric (ground-level) ozone has adverse effects on human health and environment. In this study, next day's maximum 1-h average ozone concentrations in Istanbul were predicted using multi-layer perceptron (MLP) type ...
The use of GA-ANNs in the modelling of compressive strength of cement mortar
(Elsevier, 2003-07)
In this paper, results of a project aimed at modelling the compressive strength of cement mortar under standard curing conditions are reported. Plant data were collected for 6 months for the chemical and physical properties ...
Forecasting ambient air SO2 concentrations using artificial neural networks
(Taylor & Francis, 2006-07)
An Artificial Neural Networks (ANNs) model is constructed to forecast SO 2 concentrations in Izmir air. The model uses meteorological variables (wind speed and temperature) and measured particulate matter concentrations ...
Biophysical and microbiological study of high hydrostatic pressure inactivation of Bovine Viral Diarrheavirus type 1 on serum
(Elsevier, 2012-01)
The effect of high hydrostatic pressure application on fetal bovine serum components and the model microorganism (Bovine Viral Diarrheavirus type 1 NADL strain) was studied at 132 and 220MPa pressure for 5min at 25°C. ...
Passenger flows estimation of light rail transit (LRT) system in İzmir, Turkey using multiple regression and ann methods
(Faculty of Transport and Traffic Sciences, University of Zagreb, 2012)
Passenger flow estimation of transit systems is essential for new decisions about additional facilities and feeder lines. For increasing the efficiency of an existing transit line, stations which are insufficient for trip ...
DOE and ANN models for powder mixture packing
(American Ceramic Society, 2007-07)
Design of experiments (DOE) and artificial neural network (ANN) techniques were used to study packing of fused alumina powders composed of three different sizes of particles. The first is the mixture design technique that ...
Quantification of CaCO3-CaSO3·0.5H 2O-CaSO4·2H2O mixtures by FTIR analysis and its ANN model
(Elsevier, 2004-02)
A new quantitative analysis method for mixtures of calcium carbonate (CaCO3), calcium sulphite hemihydrate (CaSO 3·1/2H2O) and gypsum (CaSO 4·2H2O) by FTIR spectroscopy is developed. The method involves the FTIR analysis ...
Fuzzy logic model for the prediction of cement compressive strength
(Elsevier, 2004-08)
A fuzzy logic prediction model for the 28-day compressive strength of cement mortar under standard curing conditions was created. Data collected from a cement plant were used in the model construction and testing. The input ...
