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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
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- 2023
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