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In simulation-based process design, model parameters, like thermodynamic data, are affected by uncertainties.
The effects of model parameters like InterRate, γ, Inertia weight and others parameters on performance are investigated in this paper.
The model parameters like number of units in hidden layers, batch size etc. are set based on the result of validation set.
These methods are rigorous but they require many model parameters (like attenuation and diffusion coefficients that characterize the water turbidity) which are only scarcely known in tables and can be extremely variable.
The response functions were the compressive textural parameters namely peak force, irrecoverable compression area or energy and strain, Young's modulus, and the model parameters like rigidity constant (k) and degree of concavity (n).
In our experiments, we take the first half of each performance for training
Similar(52)
This process-based concept has the advantage of requiring only measurable model parameters, thus avoiding fitting parameters like first-order rate coefficients.
Not all model parameters have a proper Earth-like value, though, in particular the diffusive ones, which hinders the capabilities of the model to account for short-term processes (see below).
In this tool, the user simply inputs: (i) the model equations; (ii) the model parameters; and (iii) the NONMEM-like dataset with observations, and MatVPC outputs VPCs, QVPCs, or Monte Carlo simulation plots at will.
Consideration of exchange induced by this single mechanism allows specific relationships between model parameters and system properties like solute reactivity to be identified.
By fitting the experimental data of uniaxial compression of antler bone, parametric studies are performed and the effect of model parameters on mechanical properties of bone-like materials is discussed.
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