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

机译:基于深度学习和人工智能技术的文化旅游融合艺术产业化社会效益探索

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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.
机译:作为艺术行业在文化旅游一体化发展中进行的旅游业的产品,开发特色文化旅游镇是新时代旅游业发展的新趋势。为了分析文化旅游业的社会利益,在本研究中,基于背部化(BP)神经网络和模糊综合分析,构建了社会效益评估的人工智能模型,益阳镇作为一个例子。该模型中的标准层包括三个索引(寿命益处G1,环境效益G2和经济效益G3),并且指数层包含11个索引(H1-H11)。文化遗产和保护,生态环境改善和商业经济发展的重量值分别为镇的社会利益,分别为0.522,0.570和0.424。对于G1,41.20%是优秀的;对于G2,39.5%是优秀的;对于G3,40.5%是好的。一般来说,30.76%的社会效益优秀,37.69%良好,合格21.48%,10.07%不合格。推断推断,益阳镇的社会效益水平根据建设的模型很好。因此,文化传承与保护,生态环境改善,商业经济发展是社会效益的关键评价因素。

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