Exact(23)
In order to predict the concentrations of nutrients, DO, iron, and plankton, three models were combined.
The optimized networks were able to precisely predict the concentrations of the three cations in synthetic mixtures.
The model based on artificial neural network (ANN) could predict the concentrations of the dyestuffs removal from the aqueous solution during ozonation under the different conditions.
The aim of this study is to predict the concentrations of these nanoparticles via wastewater emissions in a typical river system by means of a numerical model.
The model based on artificial neural network (ANN) could predict the concentrations of humic substances removal from aqueous solution during ozonation.
The objective was to investigate whether the current pdf approach can treat extinction/reignition phenomena and accurately predict the concentrations of species such as CO and H2.
Similar(37)
A phenomenological model is developed to predict the concentration of protein in foam.
Regression equations developed in this experiment may be used to predict the concentration of SID AA in canola meal.
The application of the strategy allowed to predict the concentration of each dye and to select the best reagent dose to decolorize mixtures of sulfonated dyes.
The second objective was to develop regression equations to predict the concentration of SID AA from the nutrient composition of canola meal.
Partial Least Squares (PLS) and Artificial Neuron Networks (ANN) were used to predict the concentration of the four metals in the samples.
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