Creative product design of ceramic technology culture integrated with machine learning

Tianyu Lin; Jeong Jinwon

doi:10.1117/12.3004077

11 October 2023 Creative product design of ceramic technology culture integrated with machine learning

Tianyu Lin, Jeong Jinwon

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 1280036 (2023) https://doi.org/10.1117/12.3004077
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

The development of ceramic technology cannot be separated from traditional culture. China is a country with a long history and has left many excellent works in various dynasties. The development of ceramic technology has attracted more and more attention. Ceramic process product design needs more innovative ideas to meet market demand. Therefore, in this paper, machine learning technology is used to carry out data statistics and creative recommendations on product design, improve the design sense of ceramic technology and meet the needs of the masses. Qualitative and quantitative analysis and experimental methods are mainly used in this paper, with the help of machine learning, the related research on the creative design of ceramic craft culture. The experimental data show that in the field of ceramics, the training accuracy and test accuracy of the SVM model are kept above 80%, among which the weighted SVM algorithm has a higher grasp of the product accuracy.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tianyu Lin and Jeong Jinwon "Creative product design of ceramic technology culture integrated with machine learning", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 1280036 (11 October 2023); https://doi.org/10.1117/12.3004077

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