Comparison of artificial neural network architectures in the task of tourism time series forecast
The authors have been developing several models based on artificial neural networks, linear regression models, Box-Jenkins methodology and ARIMA models to predict the time series of tourism. The time series consist in the “Monthly Number of Guest Nights in the Hotels” of one region. Several comparis...
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| Formato: | article |
| Idioma: | eng |
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2014
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| Texto completo: | http://hdl.handle.net/10198/10765 |
| País: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/10765 |