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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.
1225 pages, 161 Illustrations, color; XXVIII, 1225 p. 161 illus. in color.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 30 de septiembre de 2022 |
| ISBN13 | 9783030474386 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 1225 |
| Dimensiones | 242 × 163 × 51 mm · 2,48 kg |