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Beschreibung
Nonlinear Modeling: Advanced Black-Box Techniques
discusses methods on
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.
- 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.
Advanced Black-Box Techniques
Advanced Black-Box Techniques
Details
| Verlag | Springer US |
| Ersterscheinung | 30. Juni 1998 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 729 Gramm |
| Format | Hardcover |
| ISBN-13 | 9780792381952 |
| Auflage | 1998 |
| Seiten | 256 |
Schlagwörter
Complex Systems, Digitale Signalverarbeitung (DSP), Electrical and Electronic Engineering, Electronic Circuits and Systems, Elektronik, Elektrotechnik, Kybernetik und Systemtheorie, Mathematische Physik, Schaltkreise und Komponenten (Bauteile), Signal - Speech and Image Processing, Systems Theory - Control, Theoretical - Mathematical and Computational Physics
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