Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes - Oliver Nelles - Grāmatas - Springer Nature Switzerland AG - 9783030474386 - 2022. gada 30. septembris
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Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes Second Edition 2020 edition


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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.

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2022. gada 30. septembris
ISBN13 9783030474386
Izdevēji Springer Nature Switzerland AG
Lapas 1225
Izmēri 242 × 163 × 51 mm   ·   2,48 kg

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