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The quality of the model is assessed by comparing the modeled and measured log data as shown in Fig. 17.
The model is assessed against additional experimental data.
Last, the efficiency of the model is assessed in regard to time efficiency.
The quality of the phasing model is assessed primarily by the R-factor and correlation coefficient.
The accuracy of the model is assessed on a test set.
The accuracy of the proposed finite element model is assessed by comparing numerical and experimental results.
Furthermore, the algorithmic formulation of the new model is assessed for numerical robustness and efficiency.
The model is assessed by reference to experimental results for a network of metallic fibres.
The model is assessed by comparing the calculated and measured electrical impedances and horn efficiencies.
The validity of the proposed analytical model is assessed against experimental results.
The reliability of this mathematical model is assessed against experimental data.
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