Randomized algorithms for nonlinear system identification with deep learning modification

Both randomized algorithms and deep learning techniques have been successfully used for regression and classification problems. However, the random hidden weights of the randomized algorithms require suitable distributions in advance, and the deep learning methods do not use the output information i...

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Veröffentlicht in:	Information sciences Jg. 364-365; S. 197 - 212
Hauptverfasser:	de la Rosa, Erick, Yu, Wen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.10.2016
Schlagworte:	Algorithms Benchmarking Classification Deep learning Dynamical systems Learning Nonlinear system modeling Randomized algorithms Regression System identification Training Deep learning Nonlinear system modeling Randomized algorithms
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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