https://libeldoc.bsuir.by/handle/123456789/54362| Title: | Technology for making real-time decisions based on neural network forecasting |
| Authors: | Starovoytov, A. A. Krasnoproshin, V. V. |
| Keywords: | материалы конференций;decision-making;information system;proactive management;uncertainty in external load;neural networks;critical IT service |
| Issue Date: | 2023 |
| Publisher: | BSU |
| Citation: | Starovoytov, A. A. Technology for making real-time decisions based on neural network forecasting / A. A. Starovoytov, V. V. Krasnoproshin // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 58–63. |
| Abstract: | This paper considers a current applied problem related to the construction of decision support systems for critical computing services. An original approach based on neural network forecasting is proposed, within which a method of dynamic local approximation using neural network models (DLANN) has been developed. The scheme and architecture of the control system have been designed and implemented. Experiments have been conducted, confirming the effectiveness of the method and the overall approach. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/54362 |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Starovoytov_Technology.pdf | 560.66 kB | Adobe PDF | View/Open |
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