Author(s)

Zhu Xiangcai ¹, Liu Wenling ¹, Luan Yuncai ¹

Affiliation(s)

¹ School of Information Science and Technology, Taishan University, Tai'an, 271021, China

Corresponding Author

Zhu Xiangcai

ABSTRACT

In this paper, we mainly use the techniques of deep learning and neural network, the methods of FTA and Dijkstra, the software of vb.net and Python to process the tourism data, and develop the intelligent evaluation system of tourism information, including the comprehensive analysis of Tourism Information, tourism route optimization, FTA intelligent evaluation functions. The use of the platform will gradually improve the scientization of tourism management.

KEYWORDS

Deep learning, VB.NET, Tourism Information, Intelligent Evaluation

CITE THIS PAPER

Zhu Xiangcai, Liu Wenling, Luan Yuncai, Research on Tourism Information Intelligent Evaluation Based on DL and FTA. Tourism Management and Technology Economy (2022) Vol. 5: 41-45. DOI: http://dx.doi.org/10.23977/tmte.2022.050307.

REFERENCES

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[6] Qi Changhong, Yu Yun, Han Xinhuan. Research on Dijkstra Algorithm in protein Sequence Alignment[J]. Computer Engineering and Applications,2012,48(24): 122-126,148.
[7] Zhu Xiangcai, Zhang Qian, Zhang Hui. Research on Tourist Attractions Management and Safety Evaluation Based on GIS, FTA and VB.NET[J]. Journal of Taishan University,2014,36(06):64-67.

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