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...

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Bibliographic Details
Main Author: Fernandes, Paula O. (author)
Other Authors: Teixeira, João Paulo (author), Ferreira, João José (author), Azevedo, Susana Garrido (author)
Format: article
Language:eng
Published: 2014
Subjects:
Neural networks
Time series analysis
Tourism demand forecasting
Resilient backpropagation algorithm
Online Access:http://hdl.handle.net/10198/9736
Country:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/9736

Internet

http://hdl.handle.net/10198/9736

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