In this paper, based on the FT dataset, the sample data of 81 research subjects and 1049 lines in the last 2 years, data cleaning was performed to quantify and analyze them, and a Prophet time series model based on time and variable values combined with time series decomposition and machine learning fitting to do so was established for the period 2023-01-01 to 2023-01-31 using python software for forecasting and solving. The results are interpreted and analyzed for the network law. The model predicts well, with a view to providing some implications for forecasting research in other fields.
Research and Application of Time Series Prediction Model Based on Prophet Algorithm
2023-10-11
3449114 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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