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Title: Ensembles of neural network for telemetry multivariate time series forecasting
Authors: Doudkin, A. A.
Marusko, E. E.
Keywords: публикации ученых;forecasting;artificial neural network;ensemble of neural networks;telemetry;multivariate time series
Issue Date: 2016
Publisher: BSU
Citation: Doudkin, 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.
Abstract: In 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.
Appears in Collections:Публикации в изданиях Республики Беларусь

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