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相关概念视频

Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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使用BERT增强的深度学习模型和BP算法评估农村旅游发展水平.

Xiaohe Yuan1

  • 1Tourism and Cultural School, Development Research Center of Jilin Culture and Tourism Industry, The Tourism College of Changchun University, Changchun, 130607, Jilin province, China. yxh@tccu.edu.cn.

Scientific reports
|October 29, 2024
PubMed
概括

本研究整合了来自变压器的双向编码器表示 (BERT) 和反向传播 (BP) 算法,以改进农村旅游发展评估. 这种新的方法通过分析文本和数字数据来提高准确性,支持可持续的农村旅游.

科学领域:

  • 人工智能的人工智能
  • 自然语言处理 (Natural Language Processing) 是一种自然语言处理.
  • 可持续旅游 可持续旅游

背景情况:

  • 传统的农村旅游发展评估方法缺乏足够的表达能力.
  • 农村旅游业需要更准确,更全面的评估工具.
  • 深度学习和预测分析为复杂数据评估提供了潜在的解决方案.

研究的目的:

  • 开发和验证一个新的框架来评估农村旅游发展水平.
  • 通过使用集成的人工智能模型,提高农村旅游评估的准确性和全面性.
  • 探索从变压器 (BERT) 的双向编码器表示和反向传播 (BP) 的融合,用于多维数据分析.

主要方法:

  • 集成BERT深度学习模型用于情绪分析和从文本数据中提取主题.
  • 应用反向传播 (BP) 算法用于模式识别和预测分析.
  • 收集和分析与农村旅游相关的多维数据,结合文本和数字信息.

主要成果:

  • 拟议的BERT-BP模型在笔记本电脑数据集上实现了84.33%的准确性和85.33%的F1得分,优于现有方法.
  • 废弃性研究证实了BERT,BiGRU和TextCNN组件对模型性能的重大贡献.
关键词:
准确度 准确度 准确度 准确度 准确度基于BERT的深度学习模型在BP的算法中,BP算法在F1中,F1的分数是什么?农村旅游 农村旅游

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  • 综合方法表现出优越的能力,以捕捉文本和数字数据之间的相关性,提高评估的可信性.

    • 结论:

    • 伯特和BP算法的融合为农村旅游发展评估提供了一个强大而准确的方法.
    • 该模型在分析多维数据方面的有效性支持可持续农村旅游业的进步.
    • 这项研究为农村旅游业的可持续发展提供了重要的实用和创新价值.