Sentence examples for nonlinear prediction from inspiring English sources

ANFIS is a type of adaptive multi-layered feedforward networks [23], applied to nonlinear prediction where past data samples are utilized to predict the data samples ahead.

Such double prediction is a first step toward nonlinear prediction.

The mechanism utilizes fusion condition, automatic alarm setting, nonlinear prediction models and assessment.

Several linear and nonlinear prediction models have been considered and tested for their accuracy and precision.

This computational burden is even worse if a nonlinear prediction model is used.

Within the linear and nonlinear prediction models, power relationships produced the most consistent performance.

When a large variation in both chemical and physical variables is defined, the traditional two-way calibration strategies, such as partial least squares (PLS), do not allow the obtaining of multivariate model with good predictive ability (nonlinear predictions and prediction error over 8% w/w).

We propose a method for source separation of convolutive mixture based on nonlinear prediction-error filters.

Comparisons with weakly nonlinear predictions are also provided.

However, the nonlinear predictions based on the present model well agrees with the experimental results within a wide range of applied electric field.

Thus, and as Satchell and Timmermann (1995) pointed out for the case of nonlinear predictions (as is the case of the NN model), we find that the standard criteria for statistical forecast accuracy do not have a direct mapping onto profitability.