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Title: Ensembles of neural network for telemetry multivariate time series forecasting
Authors: Doudkin, A. A.
Marushko, E. E.
Keywords: публикации ученых;Forecasting;Artificial neural network;Ensemble of neural networks;Telemetry;multivariate time series
Issue Date: 2017
Publisher: Springer International Publishing
Citation: Doudkin, A. A. Ensembles of neural network for telemetry multivariate time series forecasting / A. A. Doudkin, E. E. Marushko // Pattern Recognition and Image processing / Communications in Computer and Information Science // V. V. Krasnoproshin, S. V. Ablameyko (Eds): PRIP 2016, CCIS. - Berlin : Springer International Publishing, 2017. - Рp. 53 - 62. - DOI: 10.1007/978-3-319-54220-1_6.
Abstract: In this paper, we propose to solve the problem of forecasting multivariate time series of telemetry data using neural network ensembles. Approaches to the forming neural network ensembles are analyzed and prediction accuracy is evaluated. The possibility of training the neural network ensembles is studied for reducing errors of multivariate time series forecasting.
Appears in Collections:Публикации в зарубежных изданиях

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