文章基本信息

标题：A STUDY ON ARTIFICIAL INTELLIGENCE FORECASTING OF RESORT DEMAND
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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