0539397 - ÚTIA 2022 RIV GB eng J - Journal Article
Kárný, Miroslav - Ruman, Marko
Mixture ratio modeling of dynamic systems.
International Journal of Adaptive Control and Signal Processing. Roč. 35, č. 5 (2021), s. 660-675. ISSN 0890-6327. E-ISSN 1099-1115
R&D Projects: GA MŠMT(CZ) LTC18075
Institutional support: RVO:67985556
Keywords : approximate Bayesian estimation * black-box dynamic model * data stream processing * universal approximation * mixture model * Kullback-Leibler divergence
OECD category: Automation and control systems
Impact factor: 3.369, year: 2021
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2021/AS/karny-0539397.pdf https://onlinelibrary.wiley.com/doi/full/10.1002/acs.3219
Permanent Link: http://hdl.handle.net/11104/0317312
Kárný, Miroslav - Ruman, Marko
Mixture ratio modeling of dynamic systems.
International Journal of Adaptive Control and Signal Processing. Roč. 35, č. 5 (2021), s. 660-675. ISSN 0890-6327. E-ISSN 1099-1115
R&D Projects: GA MŠMT(CZ) LTC18075
Institutional support: RVO:67985556
Keywords : approximate Bayesian estimation * black-box dynamic model * data stream processing * universal approximation * mixture model * Kullback-Leibler divergence
OECD category: Automation and control systems
Impact factor: 3.369, year: 2021
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2021/AS/karny-0539397.pdf https://onlinelibrary.wiley.com/doi/full/10.1002/acs.3219
Permanent Link: http://hdl.handle.net/11104/0317312