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Analysis of Local Characteristic Tourism based on Gray Prediction and BP Neural Networks

Wanyu Yang, Shuyang Wu, Zhonghua Sheng
Vol. 4, No. 5, pp. 41-48, 2024 DOI: 10.54691/rj4q9491 May 22, 2024
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Abstract.This study explores the strategy of utilizing online platforms to promote the recovery and development of the tourism industry against the background of the impact of the 2020 COVID-19 on the tourism industry. The development trend of Harbin's characteristic tour-ism industry was studied through college students' survey data, combined with multiple regression, gray prediction and BP neural network analysis methods. The results of the study show that combining network publicity with special tourism programs and attracting young people groups is the key, and suggestions for sustainable development are put forward. By helping the inheritance and innovation of local traditional culture, this study aims to promote the innovative development of tourism. This research framework provides theoretical and practical guidance for promoting the development of local tourism.
Keywords. Multiple Regression Analysis; Gray Prediction; BP Neural Networks.
APA Citation Wanyu Yang, Shuyang Wu, Zhonghua Sheng (2024). Analysis of Local Characteristic Tourism based on Gray Prediction and BP Neural Networks. Frontiers in Sustainable Development, 4(5), 41-48. https://doi.org/10.54691/rj4q9491

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