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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 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
- Language
- Released
- 2023
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- Subtitle
- From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes
- Language
- English
- Authors
- Oliver Nelles
- Publisher
- Springer, Berlin
- Released
- 2023
- Format
- Paperback
- Pages
- 1225
- ISBN13
- 9783030474416
- 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 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.