| DC Field | Value | Language |
|---|
| dc.contributor.author | Doudkin, A. A. | - |
| dc.contributor.author | Marushko, E. E. | - |
| dc.date.accessioned | 2017-12-07T13:53:02Z | - |
| dc.date.available | 2017-12-07T13:53:02Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.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. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/28400 | - |
| dc.description.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. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | Springer International Publishing | ru_RU |
| dc.subject | публикации ученых | ru_RU |
| dc.subject | Forecasting | ru_RU |
| dc.subject | Artificial neural network | ru_RU |
| dc.subject | Ensemble of neural networks | ru_RU |
| dc.subject | Telemetry | ru_RU |
| dc.subject | multivariate time series | ru_RU |
| dc.title | Ensembles of neural network for telemetry multivariate time series forecasting | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | Публикации в зарубежных изданиях
|
