基于单向神经网络的城市旅游路线决策支持模型  

City Tourism Route Decision Support Model Based on One-way Neural Network

作　　者：周啸[1] 李少梅[2] 张永正 李政伟 杨明雷 

机构地区：[1]信息工程大学指挥军官基础教育学院,河南郑州450001 [2]信息工程大学地理空间信息学院,河南郑州450001

出　　处：《河北师范大学学报（自然科学版）》2018年第1期81-87,共7页Journal of Hebei Normal University：Natural Science

基　　金：国家自然科学基金(41501446;41571399)

摘　　要：对陌生旅游城市而言,旅游路线及其路况信息是旅游者出行决策的一项关键因素,也是决定旅游者旅游动机的重要客观条件.提供随机旅游路线决策支持是辅助旅游者规划旅游方案的一种智能化方法.提出了一种基于单向神经网络改进的智能随机旅游路线决策支持模型.将旅游景点分类并编码子类元素景点,调用均匀分布函数随机数发生器生成随机数智能选取旅游景点,同时遍历景点排列组合秩序确定所有旅游路线.通过单向旅游路线神经链模型传输冒泡获得最大动机迭代作用值,以此确定最佳旅游路线,同时提供可行的辅助决策支持方案.以郑州市内景点路线规划为算例进行研究,结果表明,所建模型能够智能规划旅游路线并确定最佳方案,为旅游者出行提供辅助决策支持.As to a strange tourism city, tourism route and its road condition are key factors that tourists consider most,and also an important objective condition to determine tourists＇ tourism motive. It is an intelligent method to provide decision support for random tourism route to help tourist plan tourism project. In this paper,an intelligent random tourism route decision support model based on improved one-way neural net work is put forward. Sight spots are classified and subclass sight spots are coded, and then random number generator of uniform distribution function is invoked to generate random numbers to select sight spots. Meanwhile, sight spots permutation and combination are traversed to ensure all the tourism routes and feasible aid decision support projects are provided. Take sight spots route planning in Zhengzhou city as an algorithm example. Results prove that the model built in this paper can intelligently plan tourism routes,determine the best project and provide aid decision support for tourist＇s trip.

关 键 词：城市旅游 辅助决策支持 单向神经网络 旅游路线 智能规划 

分 类 号：U491[交通运输工程—交通运输规划与管理]