摘要
介绍了神经网络原理和BP神经网络模型,基于BP神经网络模型研究旅游可持续发展能力的评价方法,并应用Mat-lab和EasyNN分析软件,以上海旅游可持续发展能力为例,构建了以旅游经济、旅游环境、旅游人文资源、旅游地生活质量为主的旅游可持续发展能力评价指标体系。基于统计年鉴和问卷调查数据对其进行了实证评价,并对上海可持续发展旅游形象各个评价指标的重要性进行了分析,结论对进一步提高上海旅游可持续发展能力具有参考价值。
The neural network theory is introduced and based on the BP neural network models a method of tourism sustainable development capacity assessment is found. A evaluating system is established based on environment, economy compatibility, resource protecting and quality of life, by using Matlab and EasyNN analysis software, it evaluated the capacity of Shanghai tourism sustainable development based on real data which offered some help to the tourism sustainable development of Shanghai.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第18期4815-4818,共4页
Computer Engineering and Design
基金
管理科学与工程重点学科基金项目(XK0704)
关键词
旅游
可持续发展
神经网络
BP模型
评价
tourism
sustainable development
neural network
BP models
evaluation
