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Model cv deviance equalled 1.182, the highest deviance for any of the individual models, with third order interactions present between predictors (Table 2).
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We mainly refer to Racke [11] for the approaches of thermo-elastic models with second sound.
Due to our knowledge, there exist no results for thermodiffusion models with second sound.
The adjusted R 2 values are sometimes small but this is not unexpected in time series models with first differences.
Four different surrogate models are used: polynomial response surfaces, radial basis functions, and Kriging models with zeroth- and first-order trend models.
In this paper, an adaptive control method using multiple models with second level adaptation is proposed for a class of nonlinear multi-input multi-output (MIMO) coupled systems.
Model cv deviance equalled 0.213, the lowest deviance (best fit) for any of the models, with second order interactions present between predictors (Table 2).
Several models were explored, including two-compartment and three-compartment models with first-order elimination.
Mono-, bi-, and triexponential models with first-order and nonlinear elimination were considered.
One, two, and three compartment structural models with first-order absorption were tested.
One- and two-compartment models with first-order absorption and linear elimination were evaluated as base structural PK models.
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