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Nonlinear System Identification

From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes

Ocena książki

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  • 1225 stron
  • 43 godziny czytania

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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.

Wydanie

Zakup książki

Nonlinear System Identification, Oliver Nelles

Język
Rok wydania
2022
Oprawa
(twarda)
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Metody płatności

2,5
Nic specjalnego
2 Ocena

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Tytuł
Nonlinear System Identification
Podtytuł
From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
Język
angielski
Rok wydania
2022
Oprawa
twarda
Liczba stron
1225
ISBN13
9783030474386
Seria
Tagi
Ocena
2,5 z 5
Opis
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.