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Nonlinear System Identification
From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
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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.
Acquisto del libro
Nonlinear System Identification, Oliver Nelles
- Lingua
- Pubblicato
- 2022
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- (Copertina rigida)
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- Sottotitolo
- From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
- Lingua
- Inglese
- Autori
- Oliver Nelles
- Editore
- Springer, Berlin
- Pubblicato
- 2022
- Formato
- Copertina rigida
- Pagine
- 1225
- ISBN13
- 9783030474386
- Serie
- Valutazione
- 2,5 su 5
- Descrizione
- 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.