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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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2023. gada 2. oktobris |
| ISBN13 | 9783030474416 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 1225 |
| Izmēri | 150 × 220 × 10 mm · 1,83 kg (Svars (aptuveni)) |
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