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We have updated the HRC-I QE model by adjusting the low energy shape and the global normalization.
The simulated ground temperature was calibrated using a cylindrical source model by adjusting the grid spacing and adopting a load factor of 1.047 in the difference equation.
We calibrated the model by adjusting selected parameters until averaged basal area, stem density and wood production rates under two different mean elevations (partially versus highly flooded) were qualitatively similar to comparable values reported for swamps in the literature.
Accelerated growth could be reproduced by the MRIO model by adjusting the coefficients of the A-matrix, as demonstrated by Leontief and Duchin, for example (Leontief and Duchin 1986).
Simulation in VISSIM focuses on random distributions of driver behavioral attributes such as aggressiveness and gap acceptance, and other parameters such as vehicle arrivals, vehicle speeds, vehicle type, and others [13].The most essential prerequisite to create a VISSIM roundabout model is to calibrate the model by adjusting VISSIM parameters and hence calibration part must be crucial [14].
When the qualitative behavior of the simulation appeared satisfactory, we proceeded to calibrate the model by adjusting parameter values not found in the literature to fit the quantity and time-course of measured vocal fold mediators.
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Calibration is typically used for improving the predictability of mechanistic simulation models by adjusting a set of model parameters and fitting model predictions to observations.
In particular, it was found in the ethylene case considered that reignition could be achieved with the IEM and MC models by adjusting the value of Cϕ.
Robustness to model parameter uncertainties is accomplished by optimizing the cost summed over models, by adjusting the learning rate as a function of frequency, and by relaxing the zero error requirement as a function of frequency.
Not all market imperfections and barriers can be modelled by adjusting the discount rate.
Following their treatment, we assume in the present analysis that the optical properties of Martian dust can be modeled by adjusting the volume mixing ratio (ρ N ) of non-spherical particles to spherical particles.
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