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Nonlinear System Identification
From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
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- 1225 pages
- 43 hours of reading
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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
- Language
- Released
- 2022
- Binding
- (Hardcover)
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- Title
- Nonlinear System Identification
- Subtitle
- From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
- Language
- English
- Authors
- Oliver Nelles
- Publisher
- Springer, Berlin
- Released
- 2022
- Format
- Hardcover
- Pages
- 1225
- ISBN13
- 9783030474386
- Series
- Rating
- 2.5 out of 5
- Description
- 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.