Synopsis
Preface. 1. Neural Nets and Related Model Structures for Nonlinear System Identification; J. Sjöberg, L.S.H. Ngia. 2. Enhanced Multi-Stream Kalman Filter Training for Recurrent Networks; L.A. Feldkamp, et al. 3. The Support Vector Method of Function Estimation; V. Vapnik. 4. Parametric Density Estimation for the Classification of Acoustic Feature Vectors in Speech Recognition; S. Basu, C.A. Micchelli. 5. Wavelet Based Modeling of Nonlinear Systems; Yi Yu, et al. 6. Nonlinear Identification Based on Fuzzy Models; V. Wertz, S. Yurkovich. 7. Statistical Learning in Control and Matrix Theory; M. Vidyasagar. 8. Nonlinear Time-Series Analysis; U. Parlitz. 9. The K.U. Leuven Time Series Prediction Competition; J.A.K. Suykens, J. Vandewalle. References. Index.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
