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Using empirical models, parameters have to be estimated from experimental data.
In most cochlear models, parameters have to be tuned to match observations from experiments, which is time consuming.
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Using the Aspen Custom Modeler software, the model parameters have been estimated.
And the model parameters have been optimized in this paper.
Corrosion model parameters have been obtained from electrochemical measurements.
The model parameters have been largely determined from electrochemical characterization.
This model was based on physics of failure and the model parameters have physical meanings.
Certain model parameters have to be determined prior to performing blind source separation.
Model parameters have been developed for methylamine, morpholine, N-methylmorpholine, N-ethylmorpholine and their hydrochlorides.
Model parameters have been optimized by applying simulated annealing (SA) algorithm.
Both initial DEM and model parameters have a large influence on predicted sediment load.
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