The analysis of international communication value assessment of Chinese mythology themed animated films in belt and road under BPNN algorithm.

Chinese mythology-themed animated films are critical carriers of cultural communication. With the promotion of the "Belt and Road" initiative, how to scientifically assess their international communication value has become a current research hotspot. The innovation of this work lies in integrating the Backpropagation Neural Network (BPNN) algorithm from artificial intelligence techniques with the Bidirectional Long Short-Term Memory (BiLSTM) algorithm. This work proposes a cultural feature recognition model based on the BPNN-BiLSTM fusion. This innovative approach effectively handles the complex nonlinear features in film content and captures long-term dependencies and semantic information within text sequences through the BiLSTM algorithm. The approach improves the recognition accuracy of cultural features in Chinese mythological animated films. Experimental results show that the model achieves an accuracy of 94.39% on the test set, with the loss value maintained at around 0.60, demonstrating high performance and accuracy. Compared to traditional evaluation methods, the proposed fusion algorithm improves the efficiency of the evaluation. Also, it provides a new technical path for accurately identifying cultural features. Thus, this approach has significant theoretical value and practical significance. Meanwhile, it can effectively promote the international dissemination of Chinese mythological animated films in the context of the "Belt and Road" initiative.