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

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.