Forecasting of a non-seasonal tourism time series with ANN
The paper present and discusses several alternative architectures of Artificial Neural Network models used to predict the time series of tourism demand for Cape Verde. This time series is particularly difficult to predict due to its non-seasonal characteristic usual in a similar time series for Euro...
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| Formato: | conferenceObject |
| Idioma: | eng |
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2018
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| Texto completo: | http://hdl.handle.net/10198/16825 |
| País: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/16825 |