Sentence examples similar to interface between measured data and a model from inspiring English sources

Briefly, the difference between measured data and a diffusion-based model of light propagation through the medium [ 36– 38] is minimized to yield the optical properties.

A multistep optimization process is performed to reduce the difference between measured data and model prediction.

Discrepancies between measured data and model predictions can be explained by considering the slight experimental dishomogeneity in fiber orientation, geometry and distribution in the array.

The smallest residual error between measured data and model predictions resulted in the following estimated parameter values: p1 = 2.73 ± 0.33 mm, p2 = −0.32 ± 0.03, p3 = 0.22 ± 0.11, p4 = 0.68 ± 0.06.

Figure 2 Comparison of scintillation intensity between measured data and data from prediction models in category 1. Figure 3 Comparison of scintillation intensity between measured data and data from prediction models in category 2. From Figure 2, we can see that all of the models underestimate the scintillation intensity, but the data do not vary significantly from the measured data.

The agreement between measured data and the results predicted by the model is good.

The agreement between measured data and the predictive capabilities of sixteen models were quantitatively assessed using two validation metrics.

By deploying our simulator as the forward model, we used an objective function to capture the difference between measured data and data generated by the forward guess.

There is a good agreement between measured data and theoretical fits as shown in Fig. 4c.

Typically, the relationships between measured data and interesting properties or class memberships of the materials cannot be described by theory but require empirical models, that have to be derived from data originating from materials with known measurements and properties.

Also, the correlation between measured data and process data can be identified.