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The model was calibrated using the parameter estimation code (PEST).
Using the "Parameter Optimizer" widget to optimize the parameters of any AZOrange learner.
By using the parameter τ in (44), one has then (|J_{i}|=1/n-2tau ).
Figure 2 illustrates the Bass model implementation using the parameter values mentioned above.
EM-AODV evaluates the paths using the parameter values of path energy and hop counts [39].
Using the parameter values shown in Table 2, the cylinder model was constrained.
We run three simulations of the model using the parameter values from [48].
Then, optimal process parameters are determined by using the parameter design proposed by the Taguchi method.
Numerical experiments are carried out using the parameter values of [8] to evaluate the validity of the theoretical work.
Reachability of the proposed endcast scheme was calculated according to Eq. 35 using the parameter set in Table 7.
Figure 7 represents the outputs of system (6a)–(6d) using the parameter values given in Table 3.
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