Sentence examples for model with least from inspiring English sources

The Km and Vmax to substrate CMC-Na was calculated by fitting the model with least squares.

In evaluating the performance of the proposed models, network parameters were varied and the results obtained using mean squared error (MSE) as performance measure showed the developed model with 33 neurons in the hidden layer and tansig activation, function in both the hidden and output layers as the optimal model with least MSE value of 0.056.

To develop normal tissue complication probability (NTCP) model with least absolute shrinkage and selection operator (LASSO) to analyze dose-volume effects that influence the incidence of acute diarrhea among gynecological patients with/without prior abdominal surgery.

Out of five best models obtained for each of the TF (please see Methods for details), one model with least DOPE score and highest percentage of allowed regions in Ramachandran map was selected as the best (Fig. 2).

Table 4 further outlines the results of the model with least-square means of BMI SDS calculated according to the mother's smoking status, for various ages of the child (1, 2, and 3 years) and levels of DDE (10th percentile, median, and 90th percentile).

Several critical issues like response transformation, multiple response optimization and modeling with least squares and artificial neural networks are discussed.

Result reveals the interaction of AGT M235T- ACE I/D polymorphisms as the overall best models with least prediction error of 0.39 and CV consistency of 10/10.

When there are off-grid signals, mismatches occur in the dictionary; thus, we replace the least squares model with total least squares (TLS) criterion, which is appropriate to deal with the fitting problem when perturbations exist in both the measurement vector and in the dictionary [21].

Computer simulation was used to compare the power to detect and the precision to map QTL by Bayesian analysis using the gene frequency model (BGF) with least squares using the regression method (LSR).

What it comes down to is who creates the model with the least amount of friction, the most engagement in terms of users".

The model with the least median (minimum median residual errors) is chosen.