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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.
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Nonlinear System Identification, Oliver Nelles
- Idioma
- Publicado en
- 2022
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- Título
- Nonlinear System Identification
- Subtítulo
- From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
- Idioma
- Inglés
- Autores
- Oliver Nelles
- Editorial
- Springer, Berlin
- Publicado en
- 2022
- Formato
- Tapa dura
- Páginas
- 1225
- ISBN13
- 9783030474386
- Serie
- Calificación
- 2,5 de 5
- Descripción
- 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.