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Exact(7)
Various models were proved to perform very well.
The mathematical models for calculating kinetics values were established, and the models were proved to be valid for predicting lignocellulosic biomass pyrolysis behavior.
Out of the six currently available functions, the Kishi Chen and Richard Abbott models were proved appropriate for fitting experimental M ϕ data for RCC.
The verification results of three examples showed that the detection coincidence rate of this method reached 78.5% and the correctness and effectiveness of the models were proved.
The models were proved to be acceptable as the RMS accuracy reached 0.73%, 0.77%, and 0.90% respectively in the training set and 0.76%, 0.63%, and 0.51% for the test example.
Through both internal and external validation, our PCM models were proved to be sensitive for NR-inhibitor prediction which might be benefit from our descriptors.
Similar(53)
The models were proven reliable through comparisons to intravenous data.
MVDA based models were proven useful and should be routinely implemented for bioprocesses.
The PRO and MEC models were proven to be valid.
First, the existing models are proved wrong by the facts.
Finally, good predictive ability of the suggested models was proved with five additional verification experiments.
More suggestions(15)
matrices were proved
models were observed
models were moved
predictions were proved
models were confirmed
models were perceived
models were reported
models were approved
samples were proved
models were demonstrated
models were gone
models were launched
models were minimized
models were evaluated
models were generated
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