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A paired neural network model for tourist arrival forecasting
16 references·5 citing·41 second hop
A paired neural network model for tourist arrival forecasting (2018)A paired neural network model for tourist…Forecasting volatility of oil price using an artificial neural network-GARCH model (2016)Forecasting volatility of oil…Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics (2016)Dynamic Factor Models, Factor…Volatility forecast using hybrid Neural Network models (2013)Volatility forecast using hyb…Forecasting tourism demand to Catalonia: Neural networks vs. time series models (2013)Forecasting tourism demand to…Neural Network Forecasting of Tourism Demand (2005)Neural Network Forecasting of…Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…On Adjusting the Hodrick-Prescott Filter for the Frequency of Observations (2002)On Adjusting the Hodrick-Pres…Monthly seasonal variations (2001)Monthly seasonal variationsA practitioners guide to time-series methods for tourism demand forecasting — a case study of Durban, South Africa (2001)A practitioners guide to time…Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting (2000)Back-propagation learning in …Measuring Business Cycles: Approximate Band-Pass Filters for Economic Time Series (1999)Measuring Business Cycles: Ap…Forecasting inflation (1999)Forecasting inflationA neural network model to forecast Japanese demand for travel to Hong Kong (1999)A neural network model to for…Seasonality in tourism: Issues and implications (1998)Seasonality in tourism: Issue…Postwar U.S. Business Cycles: An Empirical Investigation (1997)Postwar U.S. Business Cycles:…Forecasting Economic Time Series With Structural and Box-Jenkins Models: A Case Study (1983)Forecasting Economic Time Ser…Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19 (2022)Interpretable tourism volume …Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm (2020)Inbound tourism demand foreca…Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network (2020)Forecasting Monthly Tourism D…Development cost prediction of general aviation aircraft using combined estimation technique (2020)Development cost prediction o…A Neural network enhanced hidden Markov model for tourism demand forecasting (2020)A Neural network enhanced hid…Forecasting tourism demand: A review of empirical research (1995)Earthquake devastation and recovery in tourism: the Taiwan case (2002)Designing an artificial neural network for forecasting tourism time series (2005)Effects of user-provided photos on hotel review helpfulness: An analytical approach with deep leaning (2017)Time Series Analysis: Forecasting and Control (1977)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010)Forecasting: theory and practice (2022)The perceived impact of tourism by residents a case study in Santa Marta, Colombia (1980)A segmentation analysis of resident attitudes to the social impact of tourism (1981)Seasonality and habit persistence in a life cycle model of consumption (1988)Preferred climates for tourism: case studies from Canada, New Zealand and Sweden (2008)Tourism seasonality in cultural destinations: Empirical evidence from Sicily (2010)Visitor attractions and events: Responding to seasonality (2014)The General Theory of Employment, Interest and Money, by John Maynard Keynes (1936)The General Theory of Employment, Interest and Money. 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References

  • 1997Postwar U.S. Business Cycles: An Empirical Investigation7,358 cited
  • 1999Measuring Business Cycles: Approximate Band-Pass Filters for Economic Time Series2,829 cited
  • 2002On Adjusting the Hodrick-Prescott Filter for the Frequency of Observations1,986 cited
  • 1999Forecasting inflation1,273 cited
  • 2003Neural network forecasting for seasonal and trend time series987 cited
  • 2016Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics432 cited
  • 2000Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting344 cited
  • 1999A neural network model to forecast Japanese demand for travel to Hong Kong309 cited
  • 1998Seasonality in tourism: Issues and implications299 cited
  • 1983Forecasting Economic Time Series With Structural and Box-Jenkins Models: A Case Study272 cited
  • 2013Forecasting tourism demand to Catalonia: Neural networks vs. time series models270 cited
  • 2001A practitioners guide to time-series methods for tourism demand forecasting — a case study of Durban, South Africa250 cited
  • 2016Forecasting volatility of oil price using an artificial neural network-GARCH model206 cited
  • 2013Volatility forecast using hybrid Neural Network models181 cited

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  • 2001Monthly seasonal variations172 cited
  • 2005Neural Network Forecasting of Tourism Demand159 cited
  • Cited by

    • 2020Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm43 cited
    • 2020A Neural network enhanced hidden Markov model for tourism demand forecasting37 cited
    • 2020Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network37 cited
    • 2022Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-1934 cited
    • 2020Development cost prediction of general aviation aircraft using combined estimation technique8 cited