Effectiveness Research of Method for Values Forecasting of Epidemiological Danger Indicators by Means of Neural Network Modeling

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dc.contributor.authorMazurets, O.V.
dc.contributor.authorOvcharuk, O.M.
dc.contributor.authorTyschenko, O.O.
dc.contributor.authorZalutska, O.O.
dc.contributor.authorМазурець, Олександр Вікторович
dc.date.accessioned2024-12-10T18:31:19Z
dc.date.available2024-12-10T18:31:19Z
dc.date.issued2024
dc.description.abstractThe aim of the study is effectiveness research of method for values forecasting of epidemiological danger indicators by means of neural network modeling. The method for values forecasting of epidemiological danger indicators using neural network modeling was studied, which allows, based on input data in the form of a sample of time-dependent values of a specified parameter during the studied period, to receive output data in the form of a sample with predicted values of the parameter for further forecasting of the level of epidemiological danger using neural network modelling, and uses a recurrent temporal neural network with one convolutional layer to predict parameter values from their time series.
dc.identifier.citationMazurets O. V., Ovcharuk O. M., Tyschenko O. O., Zalutska O. O. Effectiveness Research of Method for Values Forecasting of Epidemiological Danger Indicators by Means of Neural Network Modeling. Science and society: modern trends in a changing world. Proceedings of the 6th International scientific and practical conference. MDPC Publishing. Vienna, Austria. 2024. Pp. 136-142
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/17238
dc.language.isoen
dc.titleEffectiveness Research of Method for Values Forecasting of Epidemiological Danger Indicators by Means of Neural Network Modeling
dc.typeСтаття
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