Paper
16 June 2023 Analysis of semantic levels and characteristics of China Confucian filial piety cultural products based on deep learning
Lulu Zheng, Lim Chee Men
Author Affiliations +
Proceedings Volume 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023); 127030E (2023) https://doi.org/10.1117/12.2682908
Event: Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 2023, Hong Kong, China
Abstract
Filial piety is the natural expression of human beings' gratitude for their parents' fertility, upbringing and education. Confucian ethics is the source of Chinese traditional virtues and national spirit, and its core idea is "benevolence". Filial piety culture is the starting point and fundamental thought of "benevolence". It not only inherits the tradition of Chinese civilization, but also penetrates into the theoretical system of "benevolence", from the concept of natural consanguinity to the height of social morality and has formed a very far-reaching influence. With the development of social economy, consumers' personalized requirements for products are getting stronger and stronger, and their requirements for product performance and quality are getting higher and higher, which makes products more complicated. This paper analyzes the thinking form and creation characteristics of Confucian filial piety culture, finds out the semantic level and characteristics based on Confucian filial piety culture, and puts forward a product semantic level and characteristic analysis model based on deep learning. The results show that the overall performance of this model is better than that of the comparison model. Fusion of different levels of features can provide more context information for the final result, and the overall generalization performance of the model is good.
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Lulu Zheng and Lim Chee Men "Analysis of semantic levels and characteristics of China Confucian filial piety cultural products based on deep learning", Proc. SPIE 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 127030E (16 June 2023); https://doi.org/10.1117/12.2682908
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KEYWORDS
Semantics

Design and modelling

Modeling

Deep learning

Performance modeling

Data modeling

Matrices

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