在物联网和深度学习下,分析农村旅游形象优化
Xinghua Wang1,2,3,4,5
1The Tourism College of Changchun University, Changchun, 130607, Jilin, China. wxh@tccu.edu.cn.
Scientific reports
|December 2, 2024
概括
深度学习通过优化景观呈现和游客体验来增强农村旅游. 现实主义和服务设施是改善农村旅游形象的关键因素.
科学领域:
- 计算机科学 计算机科学
- 环境科学 环境科学
- 旅游管理 旅游管理
背景情况:
- 优化农村旅游形象对于游客体验和可持续发展至关重要.
- 传统方法难以捕获农村地区的动态环境和访客数据.
研究的目的:
- 应用深度学习优化农村旅游形象和游客体验.
- 开发一个基于大数据的模型来评估和增强农村旅游业.
- 促进农村旅游目的地的可持续发展.
主要方法:
- 部署传感器,实时监控环境和游客流量.
- 使用密集卷积神经网络 (DenseNet) 进行景观分析.
- 使用大数据构建旅游形象评估和优化模型.
主要成果:
- 开发的模型表现出卓越的准确性和稳定性.
- 农村旅游图像的呈现有显著的改进.
- 现实主义和服务设施被确定为对农村旅游形象最有影响的因素.
结论:
- 深度学习技术有效地优化农村旅游形象和游客体验.
- 技术整合对于加强农村旅游有价值.
- 专注于现实主义和服务设施对于改善农村旅游形象和可持续性至关重要.
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