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Title: Technology for making real-time decisions based on neural network forecasting
Authors: Starovoitov, A. A.
Krasnoproshin, V. V.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
Issue Date: 2023
Publisher: Minsk : BSU
Citation: Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 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://elib.bsu.by/handle/123456789/306198
ISBN: 978-985-881-522-6
Licence: info:eu-repo/semantics/openAccess
Appears in Collections:2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons

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