Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems-Reference-Cited by-同舟云学术

Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems

Published:2019-09 Issue: Volume:357 Page:188-202
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Guo Yuzhu^ORCID,Wang Lipeng^ORCID,Li Yang^ORCID,Luo Jingjing,Wang Kailiang,Billings S.A.,Guo Lingzhong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference33 articles.

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3. Time-varying nonlinear causality detection using regularized orthogonal least squares and multi-wavelets with applications to EEG;Li;IEEE Access,2018

4. Time-varying system identification using an ultra-orthogonal forward regression and multiwavelet basis functions with applications to EEG;Li;IEEE Trans. Neural Netw. Learn. Syst.,2018

5. Variational Bayesian approach for ARX systems with missing observations and varying time-delays;Chen;Automatica,2018

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