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Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes Oliver Nelles 2nd ed. 2020 edition
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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.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 2 de octubre de 2023 |
| ISBN13 | 9783030474416 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 1225 |
| Dimensiones | 150 × 220 × 10 mm · 1,83 kg (Peso (estimado)) |
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