Forecasting tourism demand with denoised neural networks

Emmanuel Sirimal Silva; Hossein Hassani; Saeed Heravi; Xu Huang

doi:10.1016/j.annals.2018.11.006

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JOURNAL ARTICLE

Forecasting tourism demand with denoised neural networks

Emmanuel Sirimal Silva Hossein Hassani Saeed Heravi Xu Huang

Year: 2018 Journal: Annals of Tourism Research Vol: 74 Pages: 134-154 Publisher: Elsevier BV

DOI: 10.1016/j.annals.2018.11.006

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Abstract

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.

Keywords:

Tourism Econometrics Benchmark (surveying) Singular spectrum analysis Autoregressive model Nonparametric statistics Artificial neural network Computer science Autoregressive integrated moving average Demand forecasting Noise (video) Parametric statistics Moving average Autoregressive–moving-average model Time series Economics Artificial intelligence Machine learning Statistics Mathematics Geography Operations management

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0.99

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Topics

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Forecasting Techniques and Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Forecasting tourism demand with denoised neural networks

Abstract

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