Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes - Oliver Nelles - Books - Springer Nature Switzerland AG - 9783030474386 - September 30, 2022
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Oliver Nelles
Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes 2nd ed. 2020 edition

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This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. In the past, nonlinear system identification was a field characterized by a variety of ad-hoc approaches, each applicable only to a very limited class of systems.

1225 pages, 161 Illustrations, color; XXVIII, 1225 p. 161 illus. in color.

Media Books     Hardcover Book   (Book with hard spine and cover)
Released September 30, 2022
ISBN13 9783030474386
Publishers Springer Nature Switzerland AG
Pages 1225
Dimensions 242 × 163 × 51 mm   ·   2.48 kg

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