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Let us now try and isolate the singularity in a single parameter by using the same procedure as in the previous section.
We optimize this smoothing parameter by using the Akaike Information Criterion34 for several such parameters (for a full description of the method, see ref. 32).
We reveal the statistical meaning of this parameter by using the Ising model and Weiss's molecular field approximation.
Recently, several methods of artificial intelligence techniques have been used to predict this fundamental parameter by using well log data.
The maximum reaction rate (Vmax) and Michaelis Menten constant (Km) of GOx were obtained for each reaction parameter by using the model equation.
One way of improving the accuracy of a cubic EOS is through the modification of temperature-dependent energy parameter by using alpha-function.
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First, we present a robust adaptive update law that allows us to estimate time-varying parameters by using the fuzzy basis function expansion.
This is very important because it allows us to easily determine kinetic parameters by using the method of initial rates (vide infra).
Genealogy samplers estimate parameters by using a large collection of genealogies36.
Then, the process to determine optimal geometry parameters by using performance atlases is presented.
The calculated values of these parameters by using the correlations were compared with the experimental data.
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