COMPARATIVE ANALYSIS OF MODERN TIME SERIES FORECASTING METHODS FOR SOLVING PRACTICAL PROBLEMS
DOI:
https://doi.org/10.30888/2663-5712.2026-35-03-015Ключові слова:
machine learning, model, neural networks, forecasting, time series, ARIMA, ARIMAX, DEEPAR, PROPHET, SARIMA, SARIMAXАнотація
The goal of this work is to develop a modified technology for error detection in text documents using a multilayer perceptron neural network. Each of the considered forecasting models has its own advantages and limitations when using them for the selected
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2026-01-30
Як цитувати
Сумець, С., Удовенко, С., Шергін, В., & Чала, Л. (2026). COMPARATIVE ANALYSIS OF MODERN TIME SERIES FORECASTING METHODS FOR SOLVING PRACTICAL PROBLEMS. SWorldJournal, 3(35-03), 34–47. https://doi.org/10.30888/2663-5712.2026-35-03-015
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