Exact(7)
Compositional discrepancy R computed with different composition models seems to be useful as a measure of compositional complexity of the genome.
Hence, the composition models the state of the system as a whole.
Local composition models are very flexible and can accurately predict complex phase behavior.
This work extends the applicability of local composition models to the solid phase.
Local composition models such as NRTL, e-NRTL, and UNIQUAC were successfully applied to represent the experimental solubility data.
As shown in Fig. 5, it compared the predictive classification results of the composition models and direct models at three localities.
In order to achieve more accurate forecasting and fair, several important artificial intelligence algorithms in AQF are compared on composition models and direct models.
Similar(1)
By marking up the virtual parts prior to model composition, composite models may be directly converted to nucleotide sequences with no further manual intervention.
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