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The paper also describes procedures for constructing functionally oriented models (models with given or predefined structures, which can serve, in particular, as flexible equivalents for diverse functionalities in power engineering) on the basis of applying experimental design techniques.
We show that the input power signal needs to meet an independence requirement to ensure the model predictability and propose an iterative process to build the models with given error bounds.
The capabilities of difference ERT to locate the cracks in ECC was estimated using (1) finite element models with given single crack and multiple cracks for image reconstruction, and (2) image reconstruction of real cracks in ECC plates under uniaxial tensile loading.
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When the corrosion rate of steel reinforcement is taken as the mean value of the corrosion current density of anode zone, the corrosion rate can then be numerically solved from the proposed model with given boundary conditions.
For the nonlinear model with given footstep length, we use accurate measurements and σ s = 0.
Then the simplified model with given uncertainty sets can be transformed into a quadratic programming (QP) and solved by the state-of-the-art QP solution methods [32].
Nevertheless, the speed ratio v is sufficiently small in both cases, which can be ascertained by the comparison between the standard deviation σ ¯ B and the one of our model with given v using Monte-Carlo simulations.
However, unlike MLE, Bayesian techniques involve calculation of posterior probabilities of model parameters by training the model with given data.
To generate a random fitness landscape according to the LK model with given L and K, we proceed by first generating random interaction sites.
Proper simulation of the state variables can be done by solving numerically the set of model equations with given initial conditions.
Lines give the best fit weighted linear regression models with weights given by the number of human SAR estimates.
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