计算机工程与应用2016，Vol.52Issue(13)：110-114,151,6.DOI:10.3778/j.issn.1002-8331.1408-0189
改进GM-Markov模型的游客量预测方法及其应用
Tourist amount forecasting method based on improving GM-Markov modeling and its application
摘要
Abstract
Accurate prediction of tourist amount is significant for the development of the tourism industry. A combined model based on the Logistic growth and GM-Markov model for predicting tourist amount is proposed. Tourism theory and pure mathematical statistical method are combined in this model. Empirical researches are simulated(using the combined model), the results of the research indicate that the combined model is more accurate than separated one, and it's more feasible and effective in the practice of tourism.关键词
游客量/罗杰斯增长曲线/灰色马尔可夫模型/组合预测Key words
tourist amount/Logistic growth/GM-Markov model/combined model分类
管理科学引用本文复制引用
张文宇,栾婧..改进GM-Markov模型的游客量预测方法及其应用[J].计算机工程与应用,2016,52(13):110-114,151,6.基金项目
陕西省自然科学基金(No.2012GQ8050). （No.2012GQ8050）
