If the size of discontinuities is not in the scale of the reservoir rock, a continuum based model may be accurate enough for simulation by incorporating some modification in the model to include the effect of these features.
Furthermore, any preference for model interpretability and the selection of a GLM based model may be somewhat self fulfilling where GLMs tend to perform best (among other GLMs, but not globally best) with a smaller number of features when compared to ANN or SVM models.
Thus, network based modeling may be a useful adjunct for the design of double knockout experiments or combination inhibition experiments to permit a more efficient search for synthetic lethals.
Some predictions of constraint-based models may be wrong in cases where modeling assumptions do not hold.
This paper puts forward the idea that individual-based models may be used as a framework to simulate the spread of disease-causing organisms in plant production chains.
Where a good understanding of ecological mechanisms exists, process-based models may be superior, whereas rich inventory data sets suggest the empirical approach.
For instance, values of solar radiation are more than 25.0 MJ m−2 day−1 for SB, KE, FA, and KB; hence, the radiation-based models may be useful for these provinces (Fooladmand 2008; Fooladmand 2011).
Gene-based models may be superior to actor-based, kin selection models with variance in outcomes or when fitness consequences vary across interacting individuals.
GBTM-based models may be especially important for groups that display more variation in adherence over time, such as those in this study who had consistently moderate adherence or high-then-low adherence.
