Nonlinear modeling : advanced black-box techniques

作者: Johan AK Suykens , J. Vandewalle , as Editors

DOI:

关键词: Nonlinear system identificationTime seriesFeature vectorAlgorithmComputer scienceKalman filterBlack boxArtificial intelligenceParametric statisticsArtificial neural networkNonlinear system

摘要: Preface. 1. Neural Nets and Related Model Structures for Nonlinear System Identification J. Sjoberg, L.S.H. Ngia. 2. Enhanced Multi-Stream Kalman Filter Training Recurrent Networks L.A. Feldkamp, et al. 3. The Support Vector Method of Function Estimation V. Vapnik. 4. Parametric Density the Classification Acoustic Feature Vectors in Speech Recognition S. Basu, C.A. Micchelli. 5. Wavelet Based Modeling Systems Yi Yu, 6. on Fuzzy Models Wertz, Yurkovich. 7. Statistical Learning Control Matrix Theory M. Vidyasagar. 8. Time-Series Analysis U. Parlitz. 9. K.U. Leuven Time Series Prediction Competition J.A.K. Suykens, Vandewalle. References. Index.

参考文章(0)