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Neuroagent technique for the hospitality and tourism industry
- 3 страниц
- 2016 год
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Гарантия сервиса Автор24
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Researchers and analysts in the hospitality industry and tourism use in practice mainly quantitative causal methods of analysis and forecast, as well as time series analysis. However, neural network analysis allows us to study the relationships and the influence of various factors on the state of this economic sector, exploring large amounts of data and identifying hidden patterns that are not always determined by traditional methods.
Hospitality industry and tourism, neural networks.
This article focuses on the application of modern neural network technology in the hospitality industry and tourism. Currently, the market economic conditions lead to increasing uncertainty, the influence of external and internal factors on the functioning of the industry as a whole and individual enterprises included in its composition. Hospitality and tourism feels the need for funds early detection of potential problems to prevent their occurrence or reduce the negative impacts. Neural networks, in particular, neuroagent may be used as a tool to detect such dangerous condition. The article reveals current research in tourism, carried out with the use of neural networks and provides advice on developing the methodology of neuroagent systems.
1. Artificial neural network [Electronic resource]. Access mode - https://ru.wikipedia.org/wiki/Artificial_Neuron_Network
2. Neural networks: use cases [Electronic resource]. Access mode - http://md-it.ru/articles/html/article19.html
3. H. Song, G. Li. Tourism demand modeling and forecasting - A review of recent research // Tourism Management 29 (2): 203-220, 2008.
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