摘要
基于改进的LS-BSVR(least squares B support vector regression)算法对旅游地理经济进行分析预测。提出了时政指数、景区景点分布指数概念,设计了时政指数、景区景点分布指数,并应用于旅游地理经济进行分析预测。设计了用于分析预测的数据模式。数值实验和预测平台结果表明,改进的LS-BSVR算法和设计的旅游地理经济数据指标以及数据模式是有效的。
Based on the improved LS-BSVR,the forecasting applications on geography economy of tourism are conducted.The concepts of the index of events and policies,the index of scenic area distribution are raised.These two indexes are defined in details,and applied into the analysis and forecasting of tourism geography economy.The data patterns are designed for application in this process.The experiment data and results from analysis platform show that the improved LS-BSVR algorithm,tourism geography economy data indicators and its data pattern are effective.
出处
《计算机工程与设计》
CSCD
北大核心
2011年第12期4169-4171,4177,共4页
Computer Engineering and Design
基金
国家自然科学基金项目(40971275)
山东省泰安科技计划基金项目(20082025)
山东科技大学基金项目(QX102146
QX101009)
"521"创新工程基金项目(CXJ1124)
关键词
LS-BSVR
旅游地理经济数据指标
时政指数
景区景点分布指数
数据模式
预测模型
LS-BSVR
tourism geography economy data indicators
the index of events and policies
the index of scenic area distribution
data pattern
forecasting model
