Sentence examples for by evaluating the model from inspiring English sources

The equations for the rate constant and reaction order were obtained by evaluating the model parameters.

There is a set of m input values that produces a TRUE output as a proof of this fact; the proof can be checked by evaluating the model in polynomial time.

For state variables, the confidence region in parameter space needs to be mapped to state space by prediction, i.e. by evaluating the model for different parameter values within the confidence region.

The overall role of allelic and genotypic richness in the performance of the plants along the various stages of the experiment was evaluated through multiple linear regressions by evaluating the model: Y = b0 + b1R + b2A + b3R*A using a stepwise backward procedure.

The ability of predicting growth was compared for the different models through predictive cross-validation using predictive log-scores of the models [ 17], approximated by evaluating the models based on posterior mean parameter estimates.

Metamorphosis thresholds were identified by evaluating the fitted model for each species over a range of temperature and Cu concentrations, and plotting contours lines corresponding to 0 %, 10 %, 50 % and 80etamorphosis (Fig. 3).

By evaluating the continuous model goodness-of-fit for a large range of parameters, we present evidence that it can.

In training, a backpropagation neural network (BPNN) is one of the most well-known methods working by evaluating the error model backwardly.

In 100 bootstrap samples we repeated the analyses and, by evaluating the diagnostic model performance in the bootstrap samples and in the original data, obtained a shrinkage factor to adjust regression coefficients and areas under the curve for overoptimism.

In particular, MDR for binary traits [ 2] enforces a dimensionality reduction by pooling multilocus genotype classes into two groups of risk based on some threshold value, and by evaluating the epistasis model via cross-validation principles.

In order to identify the optimal parameters of the developed classifiers and eventually select the optimal PNN and MLP which comprise the CDSS's subsystems, we performed the parameter tuning task by evaluating the developed models on the validation set.