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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 ...
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 ...
ANN model for prediction of powder packing
(Elsevier, 2007)
A multilayer feed forward backpropagation (MFFB) learning algorithm was used as an artificial neural network (ANN) tool to predict packing of fused alumina powder mixtures of three different sizes in green state. The data ...
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. ...
