The phrase "approximation by the model" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or modeling where you discuss how closely a model represents or predicts real-world data.
Example: "The approximation by the model indicates that our predictions are within a 5% margin of error."
Alternatives: "model's approximation" or "model approximation".
The curves have been obtained by applying the proposed model, whereas the points correspond to measurements obtained with a discrete-event simulator, specifically developed to evaluate the accuracy of the approximation introduced by the model.
The thin-dash lines show approximation by the Lorentzian model.
The VOR-MFS algorithm utilizes the method of fundamental solutions (MFS) to obtain an approximation to the model Hamiltonian by solution of an appropriate boundary value problem.
A limitation of the proposed technique is that HMM inference requires an a priori specification of the number of states, K. Bayesian inference techniques provide a means to test model order selection, by providing an approximation to the model evidence via the free energy.
To validate the proposed memetic-based heuristic method, the obtained results are compared with the results of the linear approximation of the model, which is obtained by a commercial optimization package.
The result of the simulation model is still suffering from a certain degree of uncertainty due to the composition of the approximation inherent to the model (dictated by the inability to perfectly describe the physical phenomena) and the uncertainty associated with the input data, such as the emissions and meteorological parameters.
The isogeometric analysis process circumvents many of the meshing pitfalls experienced by the traditional pipeline by working directly within the approximation spaces used by the model representation.
As the number of triangles used increases, the approximation of reality by the model improves, but the model becomes more computationally expensive to create and manipulate.
Analytical approximations of the model are confirmed by comparing them with those obtained through simulation experiments.
The answer is found in the approximations made by the models.
Moreover, the suggested LSSVM model has been compared with another group contribution model developed by Gharagheizi et al. and the results obtained from the statistical analyses confirmed this fact that the approximations by the LSSVM model were to be in good agreement with the actual reported viscosities.
