Sentence examples for best model for predicting from inspiring English sources

The results show that the 6-3-3-1 6-3-3-1 6-3-3-1 6-3-3-1he best model for predictinetworkr condenstructurete, wasreas the 6-6-6-1 network structure was the best model for predicting dehumidifier effectiveness.

The irradiation creep model proposed by Nichols that separates creep behavior into low, intermediate, and high stress regimes was the best model for predicting steady-state creep rates.

Partial least squares + random forest (PLS + RF) approaches emerged as the best model for predicting both TC and TN in organic laden soil samples.

Ferrets are the best model for predicting human flu transmission, so the assumption should be that this new strain would spread among humans, perhaps as easily as seasonal flu.

The modified Ergun model with higher values for coefficient of determination, lower values for root mean square error and mean relative deviation modulus was the best model for predicting pressure drop across green figs bed for the conditions studied.

To compare the fits of various normal tissue complication probability (NTCP) models to a common set of late rectal toxicity data, with the aim of identifying the best model for predicting late rectal injury after irradiation.

Comparison results showed that the ensemble approach (SVR +ANN) and SVR were the best models for predicting CL and HL, respectively, with mean absolute percentage errors below 4%.

Assessing the different architectures (one- and two-hidden layer neural networks) and functions (polynomial, exponential and hyperbolic tangent functions for the EPR models), a BP-ANN model with 5-5-8-1 5-5-8-1 5-5-8-1 5-5-8-1 with a hyperbolayersngent function showing high andurany arEPRntroduced as the best models for predicting the UCS.

In the trio subset, 1-locus and 2-locus models selected only markers in RELN as best models for predicting autism case status.

These results show that the variables most commonly encountered in the best models for predicting RSV outbreaks are similar to those associated with the development of temperature inversions in the Salt Lake Valley [ 23].

For high peak seasons, wind speed is the variable most consistently encountered in the best models making predictions for the week of the outbreak and one and two weeks in advance, but it is less represented in the best models for predicting three weeks in advance of the outbreak.