Forecast model of perceived demand of museum tourists based on neural network integration

Author:

Gao Yuan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference26 articles.

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2. Cham TH, Lim YM, Aik NC, Tay AGM (2016) Antecedents of hospital brand image and the relationships with medical tourist’ behavioral intention. Int J Pharm Healthc Mark 10(4):412–431

3. Clavería González Ó, Monte Moreno E, Torra Porras S (2016) Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection. Rev Econ Apl 24(72):109–132

4. Önder I, Gunter U (2016) Forecasting tourism demand with Google trends for a major European city destination. Tour Anal 21(2):203–220

5. Elamin N, Fukushige M (2017) Forecasting extreme seasonal tourism demand: the case of Rishiri island in Japan. Asia-Pac J Reg Sci 2(3):1–18

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