A neural network model to forecast Japanese demand for travel to Hong Kong

@inproceedings{Law1999ANN,
  title={A neural network model to forecast Japanese demand for travel to Hong Kong},
  author={Rob Law and N. Au},
  year={1999}
}
Apart from simple guesswork, time-series and regression techniques have largely dominated forecasting models for international tourism demand. This paper presents a new approach that uses a supervised feed-forward neural network model to forecast Japanese tourist arrivals in Hong Kong. The input layer of the neural network contains six nodes: Service Price, Average Hotel Rate, Foreign Exchange Rate, Population, Marketing Expenses, and Gross Domestic Expenditure. The single node in the output… CONTINUE READING