Study on Prediction Model of Tourist Amount of Scenic Spot Based on BP Neural Network Algorithm

DOI

10.2991/iccse-16.2016.4How to use a DOI?

Keywords

Neural network algorithm, Mount Tai Scenic Spot, Tourist amount

Abstract

In recent years, the expansion of tourism market has put forward new requirements to strengthen the management of scenic spots, in this paper, it takes Mount Tai Scenic Area as the researching object, establishing the prediction model of tourist amount by using BP neural network algorithm, so as to predict the amount of tourists of scenic spots. Through the experimental result, we can know that the algorithm of this model is fast and effective. Therefore, it can verify the possibility of using neural network algorithm to predict tourist amount in the scenic spots.

Copyright

© 2016, 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  - Yongqiu Liu
PY  - 2016/10
DA  - 2016/10
TI  - Study on Prediction Model of Tourist Amount of Scenic Spot Based on BP Neural Network Algorithm
BT  - Proceedings of the 2016 International Conference on Computational Science and Engineering (ICCSE 2016)
PB  - Atlantis Press
SP  - 18
EP  - 21
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-16.2016.4
DO  - 10.2991/iccse-16.2016.4
ID  - Liu2016/10
ER  -