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Автор: Danilo Comminiello (Editor), Jose C. Principe (Editor)
Издательство: Elsevier Inc.
Год: 2018
Формат: True PDF
Страниц: 363
Размер: 10.8 Mb
Язык: English
Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice.