Sentence examples for verification prediction from inspiring English sources

Exact(1)

These MLPs offered low verification prediction errors (less than 0.48% in both cases), thus leading to useful mathematical tools that are able to more than adequately estimate the RI of imidazolium-based ILs by solely relying on the MWs.

Similar(59)

In order to obtain a high-quality set of predictions for subsequent experimental verification, our prediction set was further reduced by applying the following stringent filters (similar to the "HighConf" filters used by EvoFold for [28]) to the maximum-likelihood conserved structured predicted by our model.

Figure 12 shows the Bland Altman graph for the verification of prediction quality ANN LMA (600) neurons in the long-term experiment (Fig. 10), (4 June 2015 18 June 2015).

Figure 13 shows the Bland Altman graph for the verification of prediction quality of ANN LMA (600) neurons in the short-term experiment (Fig. 11), (16 June 2015).

J. Adv Manufact Tech, 2002, 20, 631 638; Liu, X., Cheng, K., Webb, D., Longstaff, A. P., Widiyarto, H. M., Jiang, X.-Q., Blunt, L., Ford, D. Improved dynamic cutting force model in peripheral milling Part 2: Experimental verification and prediction.

The present experimental observations and verifications by prediction models clearly showed that the size effect is more notable with the decrease of the unit weight of concrete and it is stronger in direct tension than in compression.

For verification, the predictions by the proposed model were compared with previous experimental study results (Kim et al. 2014, 2017; Eom et al. 2014; Hwang et al. 2016), and to supplement the test results, a numerical parametric study was conducted for various design parameters.

It consists of two databases – a manually collected hierarchical regulatory interactions database based on more than 7000 scientific papers which can serve as a knowledgebase for verification of predictions, and a large set of curated by experts transcription factor binding sites used in regulon inference by a variety of tools.

The classifications, verifications and predictions facilitated by the present formulation enhance the understanding of underlying system nonlinearities which are the origins of hysteresis as well as oscillatory and aperiodic dynamic behaviors.

As the verification result, the prediction accuracy showed 86.76%.

The verification of model prediction was conducted through leave-one-out cross-validation (CV).

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