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Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes Oliver Nelles Second Edition 2020 edition
Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
Oliver Nelles
This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. In the past, nonlinear system identification was a field characterized by a variety of ad-hoc approaches, each applicable only to a very limited class of systems.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2023年10月2日 |
| ISBN13 | 9783030474416 |
| 出版社 | Springer Nature Switzerland AG |
| ページ数 | 1225 |
| 寸法 | 150 × 220 × 10 mm · 1,83 kg (重量(概算)) |