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We chose the HICUM model level2 for the modeling purpose to evaluate the drift of model parameters according to stress time.
The local feedback control layer adjusts the model parameters according to the real-time traffic conditions, and the results are optimized by the area-wide optimal control layer.
So it is necessary to adjust the channel model parameters according to the environmental influences.
In this section, we made some preliminary experiments in order to select the appropriate model parameters according to the objective performance of spectral envelope extension.
These estimates are subsequently used to compute the transformed HMM model parameters according to (10) and (11).
One-way sensitivity analyses were performed on all non-calibrated model parameters according to the ranges shown in Table 1.
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In the first-stage search, we manually set the bounds for each model parameter, according to their actual characteristics in the ESN model.
Both SA methods ranked the models' parameters according to their influence on the outputs.
The standard and parametric modeling process of LVDT is initially recorded as a script and then identifiers are added into the script to form a script template and transform Computing Aided Design CADD) parameters to CAE modeling parameters according to parameter constraints of the model.
Demonstrating this approach, we examine the parametric sensitivity of an advanced agroecosystem model (Landscape-DNDC) using a framework that is based on (1) the Sobol SA method, (2) model simulations at three UK arable sites and (3) the grouping of the model's parameters according to the processes they affect.
Phylogenetic trees were obtained using MrBayes [32] and maximum likelihood-ML (PAUP*) using the best-fit model and parameters according to Modeltest [33] and the Akaike Information Criterion.
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