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.


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    Titel :

    Research and Application of Time Series Prediction Model Based on Prophet Algorithm


    Beteiligte:
    Man, Shuquan (Autor:in) / Chen, Qiulin (Autor:in) / Ma, Xiaoxu (Autor:in)


    Erscheinungsdatum :

    2023-10-11


    Format / Umfang :

    3449114 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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