Rural revitalization, as a significant element of the national economy, has become a hot topic at present. The development of digital economies makes big data play become more significant for the national economy. To accelerate the process of rural revitalization, using up big data is vital. To mine the relationship between factors, such as cultural creativity, industrial scale, management methods, and rural revitalization from big data, this study adopts a neural network method. Based on the proposed neural network, a scheme to analyze the relationship between cultural creativity, industrial scale, management methods and the level of rural revitalization is presented. Through case studies, the effectiveness of analyzing the influence of cultural creativity, industrial scale, and management methods on rural revitalization based on big data is demonstrated. Moreover, the results validate that the proposed neural network has good prediction accuracy, which indicates that it is reliable to use neural networks to analyze the relationship between the impacting factors and the rural revitalization level with the assistance of big data.
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