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. It also contains the results of the
K.U. Leuven time series prediction competition, held within the
framework of an international workshop at the K.U. Leuven, Belgium
in July 1998.
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