Sentence examples for more efficient prediction from inspiring English sources

Further improvement of the ELM algorithms was undertaken to produce more efficient prediction models made from a hybrid of differential evolution (DE and ELMM algorithms christened DE-ELM algorithm.

The results show that the reliability assessment framework used in this study provides an accurate and more efficient prediction of failure risk of structures against blast loads compared with the direct Monte Carlo simulation method.

For more complex problems (e.g. variable local heat transfer coefficient) artificial neural networks (ANNs) and the superposition method are combined for more efficient prediction of surface (case) and junction temperatures.

Based on the coefficient of determination and the mean relative percentage deviation (0.996 and ±0.2% for RSM and 0.870 and ±2.9% for ANN, respectively), the RSM model demonstrated a better data modeling and more efficient prediction capability than the ANN-GA model.

Both studies produced relatively few common sRNAs indicating a need for more efficient prediction methods.

The expected benefit of individualizing medical treatments in this way is a more efficient prediction, prevention, diagnosis, and treatment of human disease.

To allow more efficient predictions on a larger scale, i.e. for many targets simultaneously, and to overcome the limitations of the traditional methods, machine learning based approaches have attracted much attention recently.

In addition, non-linear finite element analysis associated with the Tsai-Wu and Tsai-Hill failure criteria are more efficient in prediction of buckling modes of failure in comparison to the Hashin criterion.

The efficiency of a conformal predictor is defined as the number of single label predictions, a higher fraction of single label predictions means a more efficient predictor.

Dynamic assessment of metabolic values may be more efficient for death prediction than static values.

The combined risk score also provides a more efficient means of prediction than the use of thresholds for each of the risk scores.