Sentence examples for more reasonable model from inspiring English sources

The travel-time fit for this model was as good as that of the original model, indicating that both the original model for line SPr2 and the final modification explain the observed data, but that the final modification provided an even more reasonable model because the modeled structures on both lines at the intersection point were identical.

This is a more reasonable model for a truncated cone structure as the two radii grow independently of each other depending on the oxidation/reduction processes [171, 181].

(ii) We assume that the activity of primary users over each channel is a Markov chain (A more reasonable model for the activity of primary users is the semi-Markov chain. The corresponding analysis is more tedious but similar to that in this paper.

In this situation, a more reasonable model to calculate the distance between these series would be, instead of using linear distances between them, to calculate the distance from the first series to the location of the common ancestral population and from this to the second series.

Anisotropic modeling depicts a more reasonable chemical model of the system in regard to electron distribution, and it can potentially reduce the R 1 and wR 2 refinement statistics provided that high-resolution data are used.

Furthermore, the optimized pretreatment methods and wavelength variables are more reasonable, the model complexity is smaller, and the model robustness is stronger than other relative methods.

This is not very realistic when modeling individual neurons, but it seems more reasonable to model populations of neurons; see Chapter 11 of [7].

We apply cross validation to estimate R2 by dividing the transcripts into five parts, with the first four parts to estimate the parameters, while using the left one part to calculate the R. The higher R2 is, the better the model could fit the data, thus the more reasonable the model is.

In this paper, the sampled-data control is generalized to consider a more reasonable MDPNNs model.

These researchers have the goal of developing a more reasonable landslide model to predict rainfall-induced landslides in order to reduce loss of human life and property.

The new algorithm can be taken as an extension of the Principal Component Inverse (PCI) and maintains the benefit of PCI algorithm and moreover shows better performance due to a more reasonable reverberation model.