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Models criteria

In summary, we agree with the conclusions of Mayinger (1981) in his scaling and modeling criteria in two-phase flow and boiling heat transfer ... [Pg.383]

In choosing a model, the user can optimize fate assessment efforts by delineating first, the source release patterns and second, the dominant dynamical processes. Taking the intramedia processes first, one can address model criteria by considering the ratio of characteristic times. The advection time is the principal length scale of the domain L divided by the average flow speed u i.e. [Pg.101]

Regression methods (simultaneous methods) are applied to model criteria as a function of factor adjustments. (Fractional) Factorial designs are often used to optimise process variables, e.g. pH or ionic strength. The levels of the factors can be chosen at will. Examples of factorial designs are given in [9,10,11]. A review on the subject has been given by Deming et al. [12]. [Pg.267]

A need in modeling criteria appears when one deals with simulations. Such dimensionless criteria may be only derived from the governing equations. In such a way, we arrive at the necessity to learn the mathematical models of particular penetrable roughnesses. Some possible models will be discussed in the chapter 3.1. [Pg.26]

Bardsley, W. G. McGinlay, P. B. (1989). Optimal design for model discrimination using the F-test with non-linear biochemical models. Criteria for choosing the number and spacing of experimental points. J. Theoret. Biol. 139, 85—102. [Pg.141]

Here the classification rates of the individual bands at initialization and at completion of the algorithm are shown. Note that the same starting parameters for V, U and un have been used for the implementation involving the different modelling criteria, hence the same classification results occur at initialization for each of the criterion functions 3a, 3e, and 3cvqpm- The shading indicates which band optimization was based upon. [Pg.197]

There is substantial overlap between some of these approaches the experimental criteria such as bond lengths determined for instance by X-ray diffracto-metry have served in several classical modeling criteria. Krygowski s harmonic oscillator model and Schleyer s nucleus-independent chemical shifts, based on classical physics principles, can be considered to belong to class (2). A whole recent issue of Chemical Reviews debated problems connected with aromaticity, including local aromaticity (Schleyer 2001). [Pg.167]

Berger RJ, Kapteijn F. Coated-wall reactor modeling-criteria for neglecting radial concentration gradients. 2. Reactor tubes filled with inert particles. Industrial and Engineering Chemistry Research 2007 46 3871-3876. [Pg.210]

To build competence in the usage of tools in laboratories, by exploring various capabilities of software and hardware to build models (criteria - k)... [Pg.489]

No. Test teclmique Object to be modelled Model de- term/non determ Paradigm/ Category Test selection Model criteria examples (spec.)... [Pg.199]

Defining the preference parameters of the model (criteria weights, thresholds, etc.) ... [Pg.169]

To examine the quality of model predictions to observed data, in addition to visual inspection, various statistical tests on residuals are available to check for presence of systematic misfitting, nonrandomness of the errors, and accordance with assumed experimental noise. Model order estimation, that is, number of compartments in the model, is also relevant here, and for linear compartmental models, criteria such as F-test, and those based on the parsimony principle such as the Akaike and Schwarz criteria, can be used if measurement errors are Gaussian. [Pg.173]

Results to date have passed our CFD modeling criteria... [Pg.406]


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See also in sourсe #XX -- [ Pg.6 ]

See also in sourсe #XX -- [ Pg.6 ]




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