Sentence examples for more model parameters from inspiring English sources

A more complex version of the dominant path loss model (using more model parameters) is studied in [12].

It goes without saying that the more model parameters are truly representing all possible maritime logistics, the more rigorous is the demand assess on port services.

The network development begins with a simple architecture and a few input and output features and the level of complexity of the system are heuristically and gradually increased as more model parameters tend to be predicted by the network.

The results of the second comparative study show that, for all techniques, estimating more model parameters affects the estimation accuracy as well as the convergence of the estimated states and parameters.

Model parameterization is identical though to that of the final model CHAOS-3, apart from the fact that the extended timespan of the final model leads to slightly more model parameters for describing the time-binned magnetospheric field and the time-varying CHAMP Euler angles, as explained in the following section.

Given the absence of a clear pattern of response bias, the decision was made to terminate measurement invariance tests at this step rather than freeing more model parameters.

Model validation with more experimental data and more accurate model parameters are needed, before the program can be used in prediction and optimization of the MFC performance in practice.

However, at more realistic model parameters, e.g., a smaller Ekman number, it seems likely that these models remain applicable only when a much stronger forcing is applied to sufficiently break the typical z-invariance of the flow (geostrophy).

The empirical results demonstrate that the proposed method cannot only obtain much more appropriate model parameters, discriminative feature subset as well as smaller sets of SVs but also significantly reduce the computational time, giving high predictive accuracy.

Various parameter estimates of the more sensitivity model parameters spanned in a small neighborhood of the accepted optimal parameter estimates.

Various estimates of the more sensitive model parameters spanned in a small neighborhood of the optimal parameter estimates (see Ref. [1] for details).