软计算在旅游领域的应用综述

Sara Ali AL MAZRUII, Basil Ibrahim, Sara Wisam Hassan
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引用次数: 1

摘要

冠状病毒疫情对旅游业产生了许多不利影响。据世界卫生组织(World Health Organization)称,全球疫情以及疫情爆发时实施的缓解措施,阻碍了国内生产和贸易。目前的研究着眼于神经网络和软计算技术如何帮助为旅游业提供准确有效的预测,防止未来的损失。这项研究将比较一些策略和程序,以确定旅游业中最成功的技术。
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Soft Computing implementation in Tourism Sector: A review
The Corona virus epidemic has had numerous detrimental repercussions on the tourism industry. Domestic production and trade have been impeded by the global epidemic and the mitigation efforts implemented when the disease broke out, according to the World Health Organization in particular. The current study looks at how neural networks and soft computing techniques can help provide accurate and effective predictions for the tourism industry, preventing future losses. The study will compare a number of strategies and procedures in order to determine the most successful technology in the tourism industry.
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