Now showing items 1-3 of 3
GA-optimized model predicts dispersion coefficient in natural channels
(IWA Publishing, 2009)
Models whose parameters were optimized by genetic algorithm (GA) were developed to predict the longitudinal dispersion coefficient in natural channels. Following the existing equations in the literature, ten different ...
The use of GA-ANNs in the modelling of compressive strength of cement mortar
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 ...