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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 the discussed models and methods to real-world problems. The book also highlights potential challenges that practitioners may encounter, ensuring a well-rounded grasp of the subject matter.
Nákup knihy
Nonlinear System Identification, Oliver Nelles
- Jazyk
- Rok vydání
- 2023
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Doručení
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- Podtitul
- From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
- Jazyk
- anglicky
- Autoři
- Oliver Nelles
- Vydavatel
- Springer, Berlin
- Rok vydání
- 2023
- Vazba
- měkká
- Počet stran
- 1225
- ISBN13
- 9783030474416
- 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 the discussed models and methods to real-world problems. The book also highlights potential challenges that practitioners may encounter, ensuring a well-rounded grasp of the subject matter.