An Improved Neural Network Model in Forecasting Arrivals

Tourism products, such as unfilled airline seats, unoccupied hotel rooms, and unused facilities, cannot be stocked because of their perishable nature (Archer 1987). Therefore, accurately forecasting demand, usually measured by the number of tourist arrivals, is essential in assisting managerial, operational, and tactical decisionmaking (Athiyaman and Robertson 1992), particularly in tourism-based countries

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Year of publication:	[2008]
Authors:	Hong, Wei-Chiang
Publisher:	[2008]: [S.l.] : SSRN
Subject:	Neuronale Netze \| Neural networks \| Prognoseverfahren \| Forecasting model \| Theorie \| Theory
Description of contents:	Abstract [papers.ssrn.com]

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Extent:	1 Online-Ressource
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: Annals of Tourism Research, Vol. 32, No. 4, pp. 1138-1141, October 2005 Volltext nicht verfügbar
Source:	ECONIS - Online Catalogue of the ZBW

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