Nonlinear Modeling: Advanced Black-Box Techniques Johan A.K. Suykens

ISBN: 9781461376118

Published: November 5th 2012

Paperback

256 pages


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Nonlinear Modeling: Advanced Black-Box Techniques  by  Johan A.K. Suykens

Nonlinear Modeling: Advanced Black-Box Techniques by Johan A.K. Suykens
November 5th 2012 | Paperback | PDF, EPUB, FB2, DjVu, audiobook, mp3, RTF | 256 pages | ISBN: 9781461376118 | 5.23 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 ofMoreNonlinear 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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