Forecasting Tourist Arrivals Using a Combination of Long Short-Term Memory and Fourier Series

Ani Shabri*, Ruhaidah Samsudin, Faisal Saeed, Mohammed Al-Sarem

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Original languageEnglish
    Title of host publicationLecture Notes on Data Engineering and Communications Technologies
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages160-170
    Number of pages11
    DOIs
    Publication statusPublished (VoR) - 17 Aug 2023

    Publication series

    NameLecture Notes on Data Engineering and Communications Technologies
    Volume179
    ISSN (Print)2367-4512
    ISSN (Electronic)2367-4520

    Funding

    Acknowledgment. The authors are grateful to Universiti Teknologi Malaysia (UTM) and the Ministry of Higher Education Malaysia (MOHE) for their support of this project through the Fundamental Research Grant Scheme (R.J130000.7854.5F271).

    FundersFunder number
    Ministry of Higher Education, MalaysiaR.J130000.7854.5F271
    Universiti Teknologi Malaysia

      Keywords

      • ARIMA
      • artificial neural network
      • Fourier series
      • long short-term memory
      • tourist arrival

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