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Nonlinear Modeling: Advanced Black-Box Techniques
Paperback
Technology & EngineeringGeneral Mathematics
ISBN13: 9781461376118
Publisher: Springer
Published: Nov 5 2012
Pages: 256
Weight: 0.88
Height: 0.59 Width: 6.14 Depth: 9.21
Language: English
- 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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