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：2013
卷号：54
期号：1
出版社：Journal of Theoretical and Applied
摘要：The state of the economy has a great impact on the tourism industry; therefore, the management of a travel agency requires good financial revenue and expenditure management. Otherwise, travel agencies have difficulties surviving in a highly competitive market. Establishing an effective and accurate revenue forecasting model can enable travel agencies to predict possible financial crises, providing operators with time to react and adjust their management direction. This study used an artificial neural network (ANN) to establish an operating revenue forecasting model. According to the actual data verification results, the model presented in this study had 12.257% absolute relative error (ARE). This indicated that this model has an accurate forecasting ability and can provide reliable and efficient reference data for operators.
