Публікація: Nonlinear dynamic system kernel based reconstruction from time series data
dc.contributor.author | Lyubchyk, Leonid | en |
dc.contributor.author | Kolbasin, Vladislav | en |
dc.contributor.author | Grinberg, G. L. | en |
dc.date.accessioned | 2018-06-21T09:39:35Z | |
dc.date.available | 2018-06-21T09:39:35Z | |
dc.date.issued | 2015 | |
dc.description.abstract | A unified approach to reccurent kernel identification algorithms design is proposed. In order to fix the auxiliary vector dimension, the reduced order model kernel method is proposed and proper reccurent identification algorithms are designed. | en |
dc.identifier.citation | Lyubchyk L. M. Nonlinear dynamic system kernel based reconstruction from time series data / L. M. Lyubchyk, V. A. Kolbasin, G. L. Grinberg // Problems of Decision Making under Uncertainties (PDMU–2015) : XXV International Conference, may 11-16 2015, pp. 34-35. | en |
dc.identifier.orcid | https://orcid.org/0000-0002-0774-5414 | |
dc.identifier.uri | https://repository.kpi.kharkov.ua/handle/KhPI-Press/36826 | |
dc.language.iso | en | |
dc.publisher | ТВіМС | en |
dc.subject | time-series data | en |
dc.subject | kernel method | en |
dc.subject | identification algorithm | en |
dc.subject | intelligent data analysis | en |
dc.title | Nonlinear dynamic system kernel based reconstruction from time series data | en |
dc.type | Article | en |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | a24827c4-2d66-4b75-a569-c5794d86b1fd | |
relation.isAuthorOfPublication.latestForDiscovery | a24827c4-2d66-4b75-a569-c5794d86b1fd |
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