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Nonlinear System Identification
From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
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Více o knize
Engineers and scientists will gain a comprehensive understanding of nonlinear system identification principles, enabling them to confidently apply various models and methods to real-world challenges. The book emphasizes practical application while addressing potential difficulties that practitioners may encounter, making it a valuable resource for both academia and industry.
Nákup knihy
Nonlinear System Identification, Oliver Nelles
- Jazyk
- Rok vydání
- 2022
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- Titul
- Nonlinear System Identification
- Podtitul
- From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
- Jazyk
- anglicky
- Autoři
- Oliver Nelles
- Vydavatel
- Springer, Berlin
- Rok vydání
- 2022
- Vazba
- pevná
- Počet stran
- 1225
- ISBN13
- 9783030474386
- Série
- Hodnocení
- 2,5 z 5
- Anotace
- Engineers and scientists will gain a comprehensive understanding of nonlinear system identification principles, enabling them to confidently apply various models and methods to real-world challenges. The book emphasizes practical application while addressing potential difficulties that practitioners may encounter, making it a valuable resource for both academia and industry.