现代电子技术2017，Vol.40Issue(15)：105-107,111,4.DOI:10.16652/j.issn.1004-373x.2017.15.028
基于支持向量机的旅游需求量预测模型
Tourism demand forecasting model based on support vector machine
胡晓琴1
作者信息
- 1. 商丘学院 工商管理学院,河南 商丘 476000
- 折叠
摘要
Abstract
In order to improve the prediction accuracy of tourism demand,a tourism demand prediction model based on support vector machine is proposed. The current research status of tourism demand is analyzed to find out the defects of the cur-rent tourism demand forecasting model. According to the characteristics of time variation , periodicity and small sample of tourism demand,the tourism demand prediction model based on support vector machine was established. The contrast experi-ment of tourism demand forecasting model and neural network model was carried out. The results show that,in comparison with the neural network model,the tourism demand prediction model based on support vector machine has more accurate prediction result,which can provide the helpful guidance for the tourist area management and reasonable planning.关键词
旅游需求量/预测模型/支持向量机/灰色模型/参数优化Key words
tourism demand/forecasting model/support vector machine/grey model/parameter optimization分类
信息技术与安全科学引用本文复制引用
胡晓琴..基于支持向量机的旅游需求量预测模型[J].现代电子技术,2017,40(15):105-107,111,4.
