Modeling and forecasting monthly tourist arrivals to the United States and Indonesia using ARIMA hybrids of multilayer perceptron models-Reference-Cited by-同舟云学术

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Modeling and forecasting monthly tourist arrivals to the United States and Indonesia using ARIMA hybrids of multilayer perceptron models

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
language:
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Author:

Misengo Edward Exavery,Prastyo Dedy Dwi,Kuswanto Heri

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0105680

Reference27 articles.

1. UNWTO. Role of the International Recommendations for Tourism Statistics 2008. United Nations Publication; (2010).

2. NTTO. U.S Monthly Tourist Arrivals ( I-94 Arrivals Data). National Travel and Tourism Office's (NTTO); (2021).

3. Nonlinearity tests for time series

4. U.S. Travel Assosiation. US Travel and Tourism Overview (2019). U.S Travel Association/National Travel and Tourism Office's (NTTO); (2020).

5. BPS. Number of Foreign Tourist Visits Per Month to Indonesia According to the Entrance 2008-2020. Indonesia Central Bureau of Statistics (BPS); (2021).

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1. Predicting overnights in smart villages: the importance of context information;International Journal of Machine Learning and Cybernetics;2024-08-28

2. Forecasting international tourist arrivals in South Korea: a deep learning approach;Journal of Hospitality and Tourism Technology;2024-08-20

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