Tourism demand modeling and forecasting with artificial neural models: the Mozambique case study

Constantino, Hortêncio; Fernandes, Paula Odete; Teixeira, João Paulo

http://hdl.handle.net/10198/16947

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Authors

Constantino, Hortêncio

Fernandes, Paula Odete

Teixeira, João Paulo

Abstract(s)

This study aimed to model and forecast the tourism demand for Mozambique for the period from January 2004 to December 2013 using Artificial Neural Networks models. The number of overnight stays in Hotels was used as representative of the tourism demand. This variable was used as the output of the model.

Keywords

Modeling Forecasting Tourism demand Artificial neural networks Mozambique

URI

http://hdl.handle.net/10198/16947

Citation

Constantino, Hortêncio; Fernandes, Paula O.; Teixeira, João Paulo (2015). Tourism demand modeling and forecasting with artificial neural models: the Mozambique case study. In Congresso Internacional de Turismo, 2015. Guimarães