Publication:
Study on replication of a nonlinear dynamical system’s trajectory using a machine learning technique

datacite.subject.fos oecd::Engineering and technology
dc.contributor.author Tri Quoc Truong
dc.date.accessioned 2022-11-02T02:05:05Z
dc.date.available 2022-11-02T02:05:05Z
dc.date.issued 2021
dc.description.abstract Nonlinear system exhibits various solution orbits depending on varying parameters. It is important to detect the system’s behavior. In some cases, however, the mathematical modeling of the dynamic is completely unknown. By using a recent advance in the Machine Learning technique named Reservoir Computing, we replicate the solution orbits based only on data collected along with time evolution. We numerically confirm the effectiveness of Reservoir Computing in time series prediction
dc.identifier.doi 10.1088/1757-899X/1109/1/012035
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/604
dc.language.iso en_US
dc.relation.ispartof IOP Conference Series: Materials Science and Engineering
dc.relation.issn 1757-8981
dc.relation.issn 1757-899X
dc.title Study on replication of a nonlinear dynamical system’s trajectory using a machine learning technique
dc.type journal-article
dspace.entity.type Publication
oaire.citation.issue 1
oaire.citation.volume 1109
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