Comparative Analysis of Neural Networking and Regression Models for Time Series Forecasting
Applicability of neural nets in time series forecasting has been considered and researched. For this, training of neural network on various time series with preliminary selection of optimal hyperparameters has been performed. Comparative analysis of received neural networking forecasting model with...
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| Main Author: | |
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| Format: | Article |
| Language: | Russian |
| Published: |
Ministry of Education of the Republic of Belarus, Establishment The Main Information and Analytical Center
2019-08-01
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| Series: | Цифровая трансформация |
| Subjects: | |
| Online Access: | https://dt.bsuir.by/jour/article/view/174 |
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| Summary: | Applicability of neural nets in time series forecasting has been considered and researched. For this, training of neural network on various time series with preliminary selection of optimal hyperparameters has been performed. Comparative analysis of received neural networking forecasting model with linear regression has been performed. Conditions, affecting on accuracy and stability of results of the neural network, have been revealed. |
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| ISSN: | 2522-9613 2524-2822 |