Ensembles of neural network for telemetry multivariate time series forecasting

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.