Journal of the Chinese Ceramic Society, Volume. 51, Issue 2, 416(2023)
Prediction of Original Ingredients of Portland Glass and Research into Subclassification Methods Based on Machine Learning
[14] [14] CERIOTTI M. Unsupervised machine learning in atomistic simulations, between predictions and understanding[J]. J Chem Phys, 2019, 150(15): 150901.
[15] [15] JING L L. TIAN Y L. Self-supervised visual feature learning with deep neural networks: A survey J. IEEE T Pattern Anal, 2021, 43(11): 4037?4058.
[19] [19] Chinese Society of Industrial and Applied Mathematics[EB/OL]. [2022-09-15]. http://www.mcm.edu.cn./html_cn/node/5267fe3e6a512b ec793d71f2b2061497.html.
Get Citation
Copy Citation Text
WANG Zhihao, ZHAO Xingwei, LI Zhiqun, GUO Ming, XIAO Wanyue, LIU Zhijan. Prediction of Original Ingredients of Portland Glass and Research into Subclassification Methods Based on Machine Learning[J]. Journal of the Chinese Ceramic Society, 2023, 51(2): 416
Special Issue:
Received: Nov. 15, 2022
Accepted: --
Published Online: Mar. 11, 2023
The Author Email: Zhihao WANG (wangzhihao@dlmu.edu.cn)