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We fix a parameter (2.21).
The approach pursued here is to fix a parameter c for the general level of sound intensity and to specify a linear approximation at this level.
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Parameters derived by fixing a parameter are identified by their method of derivation (1, 2 or 3) in Table 4 ▸.
Clear parameter trends are obtained by fixing a given parameter and fitting the remaining ones.
Our results call for caution against finite sample bias when adopting a particular model or fixing a particular parameter vector.
The value τ[ 0] is the initial level of pheromones, and it is fixed as a parameter.
Based on earlier results [ 20], we fix h a parameters to a value of -2.5, which reduces the number of parameters to be determined from n = 66 to 62.
In such a case we fix all parameters ranked at the same position at once and reevaluate the smallest eigenvalue of the Hessian matrix.
Fix a correlation parameter.
In practice, we can determine a fixed scale parameter σ from a set of training subtomograms and directly apply it to all subtomograms.
With these parameters fixed, a design procedure for the desired H∞ filter is also presented based on the derived condition.
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