Submit Manuscript

Information Technology Journal

Year: 2012 | Volume: 11 | Issue: 4 | Page No.: 451-455
Research Article

Optimization of Tourist Organization in Expo based on ANN

Zhou Bowen
College of Highway Engineering Chang`an University, Xi`an, 710064, China
Niu Yifan
College of Construction Engineering Chang`an University, Xi`an, 710064, China
He Sihong
College of Highway Engineering Chang`an University, Xi`an, 710064, China
Yan Jiao
College of Highway Engineering Chang`an University, Xi`an, 710064, China
The tourist organization of the International Horticultural Expo will deeply reflect the ‘green’ Expo. In this paper, we focus on characteristic of the Expo, according to the related research and practical survey, propose an organization solution. On the basis of artificial neural network, regard the tourist flow as electric current, the sight spot as exciting point. Firstly, figure out the occupant density, construct standard ρk and the density curve. Then draw the tourist exciting curve by questionnaire and statistic. Finally, design the solution based on changing the exciting point and exciting degree.
PDF Fulltext XML References Citation

Leave a Comment

Your email address will not be published. Required fields are marked *

Article Trend

Total views 1558

References

  1. Lu, Y., G. Zhang and H. Wang, 2009. The model for evaluation of trip distribution in Shanghai EXPO based on fuzzy neural network. Comput. Appl. Software, 26: 158-160.
  2. Hu, Y.Q., 2003. Operations Research. Tsinghua University Press, Beijing.
  3. Xie, Z., 2003. Network Algorithm and Complexity Theory. National Defense Science and Technology University Press, Changsha City.
  4. Xiaohu, T. and H. Mingxiang, 2000. Power system and its automation. Power Predict Based on Fuzzy Neural Network.

Keywords