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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 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 ...
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 ...
Experimental and artificial neural network modeling study on soot formation in premixed hydrocarbon flames
(Elsevier, 2003-08)
The formation of soot in premixed flames of methane, ethane, propane, and butane was studied at three different equivalence ratios. Soot particle sizes, number densities, and volume fractions were determined using classical ...
Fuzzy logic algorithm for runoff-induced sediment transport from bare soil surfaces
(Elsevier, 2003-12)
Utilizing the rainfall intensity, and slope data, a fuzzy logic algorithm was developed to estimate sediment loads from bare soil surfaces. Considering slope and rainfall as input variables, the variables were fuzzified ...
Artificial neural networks for sheet sediment transport
(Taylor & Francis, 2002-12)
Sheet sediment transport was modelled by artificial neural networks (ANNs). A three-layer feed-forward artificial neural network structure was constructed and a back-propagation algorithm was used for the training of ANNs. ...
Predicting and forecasting flow discharge at sites receiving significant lateral inflow
(Wiley, 2007-07)
Two models, one linear and one non-linear, were employed for the prediction of flow discharge hydrographs at sites receiving significant lateral inflow. The linear model is based on a rating curve and permits a quick ...
Prediction of suspended sediment concentration from water quality variables
(Springer, 2014-04)
This study investigates use of water quality (WQ) variables, namely total chromium concentration, total iron concentration, and turbidity for predicting suspended sediment concentration (SSC). For this purpose, the artificial ...
Estimation of mechanical properties of limestone using regression analyses and ANN
(Fundacja Cement Wapno Beton, 2012)
Estimation of mechanical properties of rocks is important for researchers and field engineers working in cement and concrete industry. Limestone is used in cement production. In this study, Schmidt hammer, ultrasonic pulse ...
