Sentence examples for calculation training from inspiring English sources

The insets are the deviation distribution relative to the benchmark values in each calculation (training set: red; test set: blue) Fig. 6 NCIs calculated by DFT B3LYP, B3LYP-D3 anDFT-GRNNNN versus benchmark values.

The insets are the deviation (calculated-benchmark) distribution relative to the benchmark values in each calculation (training set: red; test set: blue) Fig. 5 NCIs calculated by DFT ωB97XD and DFT-GRNN versus benchmark values.

The insets are the deviation distribution relative to the benchmark values in each calculation (training set: red; test set: blue) Fig. 7 NCIs calculated by DFT PBE, PBE-D3 and DFT-GRNN versus benchmark values.

The insets are the deviation distribution relative to the benchmark values in each calculation (training set: red; test set: blue).

These techniques are only possible, first, because the requisite imagery has been captured from the stream in the first place (an advance in image sensor and RAM speed), and second, because companies developed highly efficient algorithms to perform these calculations, trained on enormous data sets and immense amounts of computation time.

Different from real time calculation on training simulator, precision of engineering calculation is intentionally kept by synchronizing modules based on the most time-consuming one.

The model gives a reasonable accurate result and the differences between the model calculation and training judgements are summarised as the potential causes are discussed.

In particular, real-time road access time calculations and training tools require further development before they can be used regularly in call centre operations.

Any residual frequency offset that occurs after the synchronizer stage of the conventional IEEE802.11a receiver distorts the weight calculations during training.

Calculations for training set resulted in good correlation in case of subsite binding energies (r2 = 0.827 0.929) and bond cleavage frequencies (r2 = 0.727 0.835).

This consisted of developing stand-alone networks (with no error calculations involved) trained on the basis of past numerical estimations and enabling them to predict the meridional and zonal current components over next 5 days.