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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 ...
Genetic algorithm-artificial neural network model for the prediction of germanium recovery from zinc plant residues
(Maney Publishing, 2002-09)
A multi-layer, feed-forward, back-propagation learning algorithm was used as an artificial neural network (ANN) tool to predict the extraction of germanium from zinc plant residues by sulphuric acid leaching. A genetic ...
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 ...
