Sentence examples for able to well predict from inspiring English sources

Compared with the experimental data, the simulation results indicated that the model was able to well predict the pH, volatile fatty acid (VFA) and biogas production.

Then, results from runoff experiments on small laboratory plots (2 m × 1 m) showed that the model was able to well predict the hydrographs, with the mean Nash Sutcliffe efficiency greater than 0.90.

Results showed that the model was able to well predict the transient performance of the system under different start-up and ambient conditions as well as the normal operating conditions.

The results demonstrated that the proposed network was able to well predict the ternary viscosity data points even by using the predicted values of boiling temperatures of ionic liquids.

It is shown that, except during the beginning of the cycle, for the major part of running conditions tested, this model is able to well predict the instantaneous cooling capacity obtained during the adsorption cycle as long as the variation of the height of liquid level and the equilibrium pressure is known.

The long-term aims of the science of MG should be to elucidate these minimal conditions, to find ways in which they can be met (through the production of raw materials, in the cooking process, and in the way in which the food is presented), and hence to be able to reasonably well predict whether a particular dish or meal would be delicious.

Model 3 also was able to predict well insulin sensitivity (Predicted Rd/SSPI = 17.18 0.305* Body Weight-0.056*FPG Weight-0.056*FPG of thexplainingsensitivity variability as shown in Figure 1C (R = 0.717, p < 0.001).

The model was able to predict well the experimental results.

CFD was able to predict well the power consumption of the co-axial mixing system.

The model was able to predict well the experimental data with a maximum discrepancy of ±5.0%.

As this value is lower than that obtained with Equation 1, the heuristical measurement quantization proposed in [23] increased by 20% seems to be able to predict well the users' expectations.