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

DOI

10.2991/asshm-13.2013.199How to use a DOI?

Keywords

Tourism Sustainable Development, Early-warning System, Grey Neural Network

Abstract

Early-warning research of tourism sus-tainable development is a highly compli-cated 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 indica-tors system and building the early-warning system about tourism sus-tainable 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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiuping Yang
AU  - Erchao Li
AU  - Gangmin Weng
PY  - 2013/12
DA  - 2013/12
TI  - Early-warning Model for Tourism Sustainable Development Based on Grey Neural Network—Taking Lanzhou City for Example
BT  - Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management
PB  - Atlantis Press
SP  - 1071
EP  - 1076
SN  - 1951-6851
UR  - https://doi.org/10.2991/asshm-13.2013.199
DO  - 10.2991/asshm-13.2013.199
ID  - Yang2013/12
ER  -