Training neural networks by resilient backpropagation algorithm for tourism forecasting
The main objective of this study is to presents a set of models for tourism destinations competitiveness, using the Artificial Neural Networks (ANN) methodology. The time series of two regions (North and Centre of Portugal) has used to predict the tourism demand. The prediction for two years ahead g...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2014
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10198/9736 |
| País: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/9736 |