Application of BP neural network model on forecasting the number of tourists in Hainan province

摘要：

Tourist quantity is an important factor deciding economic benefits and sustainable development of tourism. Thus tourist quantity prediction becomes the important content of tourism development planning. Based on the tourist quantity of Hainan province for more than twenty years, this paper establishes tourist quantity prediction model according to BP neural network11, in which the principle and algorithm of BP neural network is used. And this paper also predicts the future tourist quantity of Hainan province. The matlab emulational result of BP neural network model shows based on BP neural network tourist quantity prediction model can exactly predict the future tourist quantity of Hainan province, thus providing a new idea and means for tourist quantity prediction.

关键词： BP neural network International Tourism Island Tourists quantity Forecast 0 Introductions

作者: Li Jing-bing Zhang Huai-qiang

作者单位: School of Information Science and Technology Hainan University 58Remin Ave. Haikou, Hainan, 570228, P.R.China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 502-507

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）