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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/28398
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dc.contributor.authorDoudkin, A. A.-
dc.contributor.authorMarusko, E. E.-
dc.date.accessioned2017-12-07T13:37:41Z-
dc.date.available2017-12-07T13:37:41Z-
dc.date.issued2016-
dc.identifier.citationDoudkin, A. A. Ensembles of neural network for telemetry multivariate time series forecasting / A. A. Doudkin, E. E. Marusko // Proceedings of the 13th International Conference on Pattern Recognition and Information Processing (PRIP’2016) ; October 3-5, 2016, Minsk. – Minsk : BSU, 2016. - P. 54 - 57.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/28398-
dc.description.abstractIn this paper, we propose an approach to solving the problem of forecasting multivariate time series of telemetry data using ensemble neural networks. Approaches to the construction of neural network ensembles are analyzed and accuracy of prediction is evaluated. It is studied a possibility of training the neural network ensembles for reducing errors of multivariate time series forecasting.ru_RU
dc.language.isoenru_RU
dc.publisherBSUru_RU
dc.subjectпубликации ученыхru_RU
dc.subjectforecastingru_RU
dc.subjectartificial neural networkru_RU
dc.subjectensemble of neural networksru_RU
dc.subjecttelemetryru_RU
dc.subjectmultivariate time seriesru_RU
dc.titleEnsembles of neural network for telemetry multivariate time series forecastingru_RU
dc.typeСтатьяru_RU
Appears in Collections:Публикации в изданиях Республики Беларусь

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