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Cheng and Kleijnen (Oper. Res. 47 5) (1999) 762) propose a very general regression metamodel for modelling the output of a queuing system.
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Number of Gaussian components used to model the output of each HMM state.
To model the output from a hypothetical research group, its size and composition must be chosen first.
After re-compiling the model, the output signals presenting the variables are available digitally.
We model the output spike trains of single neurons by stochastic point processes.
For the constant Sugeno model, the output level z is constant c, where a = b = 0.
Following simulations with the contraction model, the output metrics described above were calculated from the model outputs generated using the parameter values from the experimental design (step 3).
Through the patients' central role in the CAG-model, the output exceeded the initial expectations.
In ANN model, the output of the neuron largely depends on the transfer functions.
Note that, in the model, the output of each gene is unaffected by duplication.
In the model structure, the output is calculated in Eqs.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com