Nonlinear Modeling: Advanced Black-Box Techniques by Johan A. K. Suykens, Joos VandewalleEnglish | PDF(True) | 1998 | 265 Pages | ISBN : 0792381955 | 22 MB
Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on
Neural nets and related model structures for nonlinear system identification;
Enhanced multi-stream Kalman filter training for recurrent networks;
The support vector method of function estimation;
Parametric density estimation for the classification of acoustic feature vectors in speech recognition;
Wavelet-based modeling of nonlinear systems;
Nonlinear identification based on fuzzy models;
Statistical learning in control and matrix theory;
Nonlinear time-series analysis.