Literature DB >> 33664692

Exploration of Social Benefits for Tourism Performing Arts Industrialization in Culture-Tourism Integration Based on Deep Learning and Artificial Intelligence Technology.

Ruizhi Zhang1.   

Abstract

As a product of the tourism performing arts industry in culture-tourism integration development, to develop a featured culture-tourism town is a new trend for tourism development in the new era. To analyze the social benefit of the culture-tourism industry, in this study, an artificial intelligence model for social benefit evaluation is constructed based on backpropagation (BP) neural network and fuzzy comprehensive analysis, with Yiyang Town taken as an example. The criterion layer in the model includes three indexes (life benefit G1, environmental benefit G2, and economic benefit G3), and the index layer contains 11 indexes (H1-H11). The weight values of cultural inheritance and protection, ecological environment improvement, and commercial economy development to the social benefit of the town are 0.522, 0.570, and 0.424, respectively. For G1, 41.20% is excellent; for G2, 39.5% is excellent; and for G3, 40.5% is good. In general, 30.76% of the total social benefit is excellent, with 37.69% being good, 21.48% being qualified, and 10.07% being unqualified. It is inferred that the total social benefit level of Yiyang Town is good according to the constructed model. Therefore, the culture inheritance and protection, the ecological environment improvement, and the commercial economy development are the key evaluation factors of social benefit.
Copyright © 2021 Zhang.

Entities:  

Keywords:  BP neural network; cultural inheritance and protection; fuzzy comprehensive analysis method; social benefit; towns with cultural and tourism characteristics

Year:  2021        PMID: 33664692      PMCID: PMC7921744          DOI: 10.3389/fpsyg.2021.592925

Source DB:  PubMed          Journal:  Front Psychol        ISSN: 1664-1078


  8 in total

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Journal:  Front Psychol       Date:  2018-03-14

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Authors:  Min Chen
Journal:  Front Psychol       Date:  2019-10-09

5.  Applying Internet information technology combined with deep learning to tourism collaborative recommendation system.

Authors:  Meng Wang
Journal:  PLoS One       Date:  2020-12-03       Impact factor: 3.240

6.  Entrepreneurial Passion and Personality: The Case of Academic Entrepreneurship.

Authors:  Martin Obschonka; Julia Moeller; Maximilian Goethner
Journal:  Front Psychol       Date:  2019-01-09
  8 in total

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