Research Article

The Chaotic Prediction for Aero-Engine Performance Parameters Based on Nonlinear PLS Regression

Table 2

The optimal results after selecting independent variable by Bootstrap method based on NPLS.

Forecasting methodEmbedding dimension (m)Delay time (τ)Subset numbersNMSE

Cubic spline interpolation9350.6480
Uniform kernel28640.5753
Epanechnikov kernel9370.5917
Bi-weight kernel81920.5606
Triweight kernel9350.5786
Gaussian kernel31040.6510