摘要
入境旅游是旅游业发展的关键因素,通过对入境旅游需求进行预测,获取未来某一时段的旅游接待信息,对于提高旅游目的地接待效率和接待水平具有重要意义。本文运用ARIMA模型和BP神经网络模型对江苏省入境旅游需求进行预测,得到了较好的预测效果。
Inbound tourism is the key factors of development to tourism industry.It is very important and necessary to improve reception efficiency and level of tourist destination that achieve a period of the tourist reception information by forecasting inbound tourism demand.The paper forecasts the inbound tourism demand of Jiangsu province by applying ARIMA model and BP neural network model to supply policy reference and data support for implementing the tourism development strategies of Jiangsu province.The results indicate that the forecast results are good.
出处
《计算机与现代化》
2010年第10期34-37,共4页
Computer and Modernization
