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Nonlinear System Identification

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

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  • 1225pagine
  • 43 ore di lettura

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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.

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Nonlinear System Identification, Oliver Nelles

Lingua
Pubblicato
2023
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Sottotitolo
From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
Lingua
Inglese
Pubblicato
2023
Formato
In brossura
Pagine
1225
ISBN13
9783030474416
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 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.