Non-linearity and Artificial Neural Networks. Radial Basis Functions and Kernel Partial Least-Squares
摘要
An introduction to calibration of non-linear systems with artificial neural networks is provided. Detailed information is given on calibration using radial basis functions and Kernel partial least-squares. The latter are interpreted based on the concept of data linearization by projection onto a non-linear space.