Nonlinear Modeling
Subtitle: Advanced Black-Box Techniques
By: edited by Johan A. K. Suykens, Joos Vandewalle
Contributors: Vandewalle, Joos
Publisher: Springer US
Published: 1998
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] :
Number of pages: 256
ISBN-13: 9781461376118; 9781461557036
Subjects: Systems engineering; Engineering; Computer engineering; Systems theory
Description: 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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