Neural network analysis in time series forecasting
Objectives. To build neural network models of time series (LSTM, GRU, RNN) and compare the results of forecasting with their mutual help and the results of standard models (ARIMA, ETS), in order to ascertain in which cases a certain group of models should be used.Methods. The paper provides a review...
| Main Authors: | , |
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| Format: | Article |
| Language: | Russian |
| Published: |
MIREA - Russian Technological University
2024-08-01
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| Series: | Российский технологический журнал |
| Subjects: | |
| Online Access: | https://www.rtj-mirea.ru/jour/article/view/967 |