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Cognitive Diagnosis of Cultural and Rural Tourism Convergence

机译：文化与乡村旅游融合的认知诊断

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摘要

Neural networks are widely used in the field of cognitive diagnosis. Cognitive diagnosis can diagnose the subjects’ knowledge of cognitive attributes according to their responses, so as to obtain the specific cognitive status of the subjects and provide remedial measures. The studies on the convergence of cultural industry and tourism industry are emerging, but the theoretical system needs to be improved. The research on the convergence mechanism between cultural industry and tourism industry can complement each other on the basis of independent theoretical system, which establishes relationship between the two theoretical systems. Based on the adaptive neural network algorithm and from the perspective of blockchain, this study takes cultural industry and rural tourism industry as examples to diagnose the industry convergence of rural cultural industry and rural tourism industry development, which will further consolidate the theoretical basis for the convergence and development of tourism industry and cultural industry, as well as contribute to promoting development of industry convergence.
机译：神经网络广泛用于认知诊断领域。认知诊断可以根据受试者的反应来诊断受试者的认知属性知识，从而获得受试者的特定认知状态并提供补救措施。关于文化产业与旅游产业融合的研究正在兴起，但理论体系有待完善。文化产业与旅游产业融合机制的研究可以在独立的理论体系的基础上相互补充，从而建立两者之间的联系。基于自适应神经网络算法，从区块链的角度出发，以文化产业和乡村旅游产业为例，对乡村文化产业的产业融合和乡村旅游产业发展进行诊断，为进一步融合奠定理论基础。与旅游业和文化产业的发展，并为促进产业融合发展做出贡献。

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