Abstract
As the soft power of a country, cultural industry can not only meet the psychological needs of the people but also enhance the self-confidence of the nation. In order to clarify the development direction of the cultural industry, we propose an optimizing the multi-layer hybrid hypernetwork for the cultural industry value chain based on multi-core design to improve the intelligentization of the cultural industry. First, we construct the feature representation of the cultural industry value chain through graph convolutional network and improve the multi-core structure to improve the accuracy of the value chain. Then, around the value chain with multi-core structure, we propose a network optimization strategy by reinforcement learning to boost the performance of the intelligent model. Experiments show that our method can obtain an F1 value of 0.948, which can assist the upgrading and development of the cultural industry.
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