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The present paper deals with the determination of kinetic parameters of this model by optimal fitting of experimental data obtained in a bench-scale CSTR.
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This paper proposes a method for determining optimal fittings of the Rice formula to the tails of outcrossing rate histograms related to traffic load effects.
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The determination of the optimal fitting coefficients is described as follows.
Different optimization aspects and architecture optimal fitting are presented.
An optimal fitting is obtained through a series of statistical tests between successive fittings and the histogram tails.
The set of the fitting coefficients meeting the optimization criterion is determined as the optimal fitting coefficients for local troposphere modeling.
A set of local troposphere fitting coefficients are then derived using a proposed optimal fitting model.
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The experts were asked to rate the conceptual fitness of each item on a scale ranging from 1 ("not fitting") to 6 ("optimal fitting").
Six terms gaussian fitting method, which has optimal fitting performance among the five methods, is chosen to construct the nonlinear mathematical model of the LED module, and then the simulation model is built with MATLAB/Simulink.
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