The importance of being fuzzy and other insights from the border between math and computers: By Arturo Sangalli. Princeton University Press, Princeton, NJ. (1998). 173 pages. $24.95, £18.95
- Book ID
- 104353786
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 104 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0898-1221
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✦ Synopsis
Contents:
Preface. Contributing authors. 1. Neural nets and related model structures for nonlinear system identification (Jonas SjSberg and Lester S.H. Ngia). 2. Enhanced multi-stream Kaiman filter training for recurrent networks (Lee A. Feldkamp, Danil V. Prokhorov, Charles F. Eagen and Fumin Yuan). 3. The support vector method of function estimation (Vladimir Vapnik). 4. Parametric density estimation for the classification of acoustic feature vectors in speech recognition (Sankar Basu and Charles A. Micchelli). 5. Wavelet based modeling of nonlinear systems (Yi Yu, Wayne Lawton, Seng Luan Lee, Shaohua Tan and Joos Vandewalle). 6. Nonlinear identification based on fuzzy models (Vincent Wartz and Stephen Yurkovich). 7. Statistical learning in control and matrix theory (M. Vidyasagar). 8. Nonlinear time-series analysis (Ulrich Parlitz). 9. The K.U. Leuven time series prediction competition (Johan A.K. Suykens and Joos Vandewalle). Index.