Early-warning Model for Tourism Sustainable Development Based on Grey Neural Network-Taking Lanzhou City for Example

被引：0
|
作者：
Yang, Xiuping [1 ,2 ]
Li, Erchao [1 ]
Weng, Gangmin [2 ]
机构：
[1] Lanzhou Univ Technol, Coll Econ & Management, Lanzhou 730050, Peoples R China
[2] Yanshan Univ, Coll Econ & Management, Qinhuangdao 066040, Hebei, Peoples R China
来源：
PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL SCIENCE, HUMANITIES, AND MANAGEMENT | 2013年 / 43卷
关键词：
Tourism Sustainable Development; Early-warning System; Grey Neural Network;
D O I：
暂无
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
Early-warning research of tourism sustainable development is a highly complicated problem. This paper discusses the conception of the early-warning system about tourism sustainable development. Basing on the characteristics of tourism oneself, it sets up the evaluation indicators system and building the early-warning system about tourism sustainable development based on grey neural network. Takes Lanzhou City for an example and puts forward to some measures. Result demonstrates the speediness and efficiency of this algorithm. This algorithm shows the advantage in early-warning research of tourism sustainable development.
引用
收藏
页码：1072 / 1077
页数：6
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