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However, the success of this method largely depends on the appropriate selection of model parameters, namely, the number of extracted components and the rank of the factor matrices.
A comprehensive study follows where two model parameters, namely, injector-producer (i-p) separation and flow rates are varied systematically and their effects are observed.
Experimental investigation is required to determine model parameters, namely the coefficient of heat transfer to the product, and the resistance of the dried cake to vapor flow.
Robustness is studied for uncertainties in several model parameters, namely the vehicle longitudinal velocity, the road adherence coefficients and the hand wheel angle.
Two model parameters, namely intermediate pore blocking coefficient and cake filtration coefficient are obtained by minimizing the error involved between calculated and experimental flux data.
GA was implemented to determine the optimal extent of the model parameters; namely, regularization factor and variance used in the kernel function which were obtained to be: γ = 33.4091 and σ2 = 0.268829, respectively.
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The model parameter, namely the mass transfer coefficient (Ks, min−1), was fitted to the experimental data.
The influence of a second model parameter (namely the inharmonicity) on the behaviour of the system is addressed.
In these models, several parameters (namely the consumption of fast foods, French fries, cakes/donuts, sweets and energy drinks) were set to zero because they were redundant due to high co-linearity with other independent variables.
The outputs of the ANN model include property parameters namely: ultimate tensile strength, yield strength, percentage elongation, reduction in area and impact energy.
Taking this into account, on comparison with the polygenic model, the full GxTDEE and/or GxDEE models have three additional parameters, namely, the gamma parameters for the additive genetic and residual environmental variance functions and the lambda parameter for the genetic correlation function.
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