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A new forecasting approach for the hospitality industry 

By Óscar Clavería González, Enric Monte Moreno and Salvador Torra Porras

Abstract

This study aims to apply a new forecasting approach to improve predictions in the hospitality industry. In order to do so we develop a multivariate setting that allows incorporating the cross-correlations in the evolution of tourist arrivals from visitor markets to a specific destination in Neural Network models

Topics: Previsió econòmica, Turisme, Desenvolupament econòmic, Xarxes neuronals (Informàtica), Sistemes MIMO, Economic forecasting, Tourism, Economic development, Neural networks (Computer science), MIMO systems
Publisher: Emerald
Year: 2015
DOI identifier: 10.1108/IJCHM-06-2014-0286
OAI identifier: oai:diposit.ub.edu:2445/67142
Journal:

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