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The defined mathematical models and Monte Carlo simulation are used to evaluate the risk of uncertainty in models prediction and incertitude in adjusting the process parameters and to identify the design space.
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We then use in vivo studies to test a key model prediction, and predict the translational efficacy in humans.
Results showed suitable match between model prediction and experimental data.
Reasonable agreement between modeling prediction and experiments is obtained.
where R is the model prediction and the set {A i } constitutes the model parameters.
Figure 2 Model prediction and real data for a shorter period of time.
ANN is a good way to handle the problems of modeling, prediction, and control.
There is significant mismatch between the model prediction and diopside dissolution at 175°C.
The outcomes of these studies have important implications for streamflow modeling, prediction, and catchment classification.
Post-calibration model prediction and efficiency were deemed satisfactory using standard model performance criteria.
The optimized propylene selectivity of model prediction and the experimental value were 54.3% and 54.8% respectively.
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