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Название: Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes, Second edition
Автор: Oliver Nelles
Издательство: Springer
Год: 2020
Формат: True PDF
Страниц: 1233
Размер: 40 Mb
Язык: English
This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. It equips them to apply the models and methods discussed to real problems with confidence, while also making them aware of potential difficulties that may arise in practice.
Автор: Oliver Nelles
Издательство: Springer
Год: 2020
Формат: True PDF
Страниц: 1233
Размер: 40 Mb
Язык: English
This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. It equips them to apply the models and methods discussed to real problems with confidence, while also making them aware of potential difficulties that may arise in practice.