摘要
针对HKRVM客流量预测模型结果易受权系数β和径向基核函数宽度g的影响,为提高旅游景区客流量预测精度,文中将蜻蜓算法(Dragonfly Algorithm,DA)应用于HKRVM模型的权系数β和径向基核函数宽度g的优化,提出一种基于DA-HKRVM的旅游景区客流量预测方法。研究结果表明,DA-HKRVM可以有效减小旅游景区客流量预测误差,为客流量预测提供了新的方法和途径,从而为旅游管理部门的科学决策和调度管理提供了重要的参考依据。
In view that the result of HKRVM tourism flow prediction model is easily authorized by the influence of the weight coefficientβand the width of radial kernel function g,A DA-HKRVM based tourism flow prediction method for tourist attractions is proposed by applying the Dragonfly Algorithm(Dragonfly Algorithm,DA)to the optimization of the weight coefficientβand radial kernel function width g of the HKRVM model to improve the accuracy of tourism flow prediction in tourist scenic area.The research results show that DA-HKRVM can effectively reduce the traffic forecasting error of tourists attractions,provide new methods and approaches for tourists flow forecasting,and provide an important reference for the scientific decision-making and scheduling management of tourism management departments.
作者
汪东亮
陆依依
WANG Dong-liang;LU Yi-yi(School of Engineering and Technology,Chengdu University of Technology,Leshan 614007,Sichuan Province,China;Yunnan Agricultural University,Kunming 650201,China)
出处
《信息技术》
2019年第4期101-105,共5页
Information Technology
关键词
蜻蜓算法
相关向量机
粒子群算法
遗传算法
旅游客流量预测
Dragonfly Algorithm
relevance vector machine
particle swarm optimization algorithm
genetic algorithm
tourists flow forecast
