| 书目名称 | Nonlinear Modeling |
| 副标题 | Advanced Black-Box T |
| 编辑 | Johan A. K. Suykens,Joos Vandewalle |
| 视频video | http://file.papertrans.cn/668/667566/667566.mp4 |
| 图书封面 |  |
| 描述 | .Nonlinear Modeling: Advanced Black-Box Techniques.discusses methods on . .Neural nets and relatedmodel structures for nonlinear system identification; ..Enhancedmulti-stream Kalman filter training for recurrent networks; ..Thesupport vector method of function estimation; ..Parametric densityestimation for the classification of acoustic feature vectors inspeech 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 predictioncompetition, held within the framework of an international workshop atthe K.U. Leuven, Belgium in July 1998. |
| 出版日期 | Book 1998 |
| 关键词 | Nonlinear system; cognition; filter; filters; model; modeling; network; speech recognition; system; system id |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-5703-6 |
| isbn_softcover | 978-1-4613-7611-8 |
| isbn_ebook | 978-1-4615-5703-6 |
| copyright | Springer Science+Business Media Dordrecht 1998 |