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  • 标题:A STUDY ON ARTIFICIAL INTELLIGENCE FORECASTING OF RESORT DEMAND
  • 本地全文:下载
  • 作者:HAN-CHEN HUANG
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2014
  • 卷号:70
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In recent years, the number of foreign visitors to Taiwan continued to increase, and people paid greater attention to quality of life, thus, the domestic tourism industry has become increasingly active. Resorts are very popular and are the hot mainstream commodity of the leisure and tourism industry. However, leisure and tourism are not livelihood necessities, and consumer demand is subject to many other factors. The resort industry must be able to master the demand volume in order to achieve advance planning of resource management and allocation, human use, financial management, marketing management, etc. Therefore, this study applies artificial intelligence technology to establish the resort demand forecasting model. The empirical results show that forecasting model Mean Absolute Relative Error (MARE) is 0.1232, and correlation coefficient is 0.9408, indicating that the model has a good forecasting ability and can be used as a reference for the resort industry and related industries in Taiwan.
  • 关键词:Resort; Demand; Forecasting
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