Sentence examples for models which employed from inspiring English sources

In this study, the preparation process of polydimethylsiloxane (PDMS)/ceramic composite membrane was successfully modeled by the hybrid models which employed backpropagation neural network (BPNN) to predict the effects of preparation conditions on pervaporation performances of membranes and used genetic algorithm (GA) to choose the initial connection weights and biases of BPNN.

Therefore, in the present study, we focus on p K a prediction using QSPR models which employ EEM charges.

This finding contrasts with results obtained in standard sticky-wage models, which employ neoclassical labor markets at their core.

We also compared these QSPR models with corresponding QSPR models which employ QM charges computed by the same charge calculation schemes used for EEM parameterization.

A promising approach for p K a prediction is to use QSPR models which employ partial atomic charges as descriptors [21 24].

In recent past, several neural network models which employ cutting forces and AErms or their derivatives for estimation as well as classification of flank wear have been developed.

The clustering employs linear dot-scoring, a fast and simple technique for scoring test segments against target models which employs the first-order Taylor-series approximation to the GMM log-likelihood.

Almost all of the models which employ the concept of temperature change in the filament follow the basic principles of the filament dissolution model [82, 83] discussed further in the "Filament Dissolution Model" section.

ZIP models, which employ two-component mixture distributions, hypothesize that observed counts arise from one of two latent classes within the source population: one class provides only zeros and the other produces both zero and non-zero values.

Since (R_{infty}) can become discontinuous, it is virtually impossible to guarantee the accurate numerical solution of point-neuron models which employ a Heaviside firing rate function: Any round-off errors can potentially corrupt simulations.

Stochastic simulation models, which employ the CERES model to simulate crop yields across a landscape, are used to translate assumed spatial patterns of soil and management conditions into spatial pattern of yields.