Sentence examples for model functions are from inspiring English sources

According to Fig. 8, in predicting the maximum points, ANFIS model functions are better, while ANN model has a better performance in predicting minimum points.

Furthermore, a QS model established in one terrain can explain the pressure fluctuations in the other terrains based on the fact that the model functions are similar over the range of observed upstream terrain conditions.

MISQP assumes that the model functions are smooth in the sense that an increment of an integer variable by one leads to a small change of function values but it does not require that the mixed-integer program is convex or relaxable (i.e. function values are evaluated only at integer points).

The lag size and the number of lags in conjunction with the model functions were selected using trial and error approach.

Model functions were directly fitted through filtered data to derive new parameter values and a new temperature reduction curve (Eq. 4).

Fluorescence values were plotted against their corresponding concentration values for each protein variant, and 4 parameter logistic nonlinear regression model functions were fitted to the data to determine the transition point of the curve.

Thus, the observation model function is expressed as the product of these three functions (Eq. (27)).

A model function was fitted to each slice using a downhill simplex algorithm.

However, during monthly period, WANFIS model function is better for predicting the maximum point.

Therefore, the state transition model function is expressed as the product of the PDF of these distributions.

The selection of the model function is informed by the LSS and autocorrelation analysis of experimental data.