Glass classification and identification based on systematic clustering and BP neural network algorithm
DOI:
https://doi.org/10.54097/hset.v22i.3398Keywords:
Systematic Clustering, BP Neural Network, Principal Component Analysis, Glass Classification.Abstract
As glass is buried in the ground for years, its surface has been eroded by weathering, thus changing its chemical composition and structure. In this paper, we search for the basis for the classification of high potassium glass and lead-barium glass, and on this basis, we further carry out subclass classification, and finally perform sensitivity analysis on the classification results. After establishing the glass classification model, the artifacts with unknown glass types are predicted, and the data are input into BP neural network for training and prediction to determine their artifact glass types, and sensitivity analysis is performed on the prediction results.
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References
Ling Feng,Liu Chengying. Identification of dullness of optical glass grinding wheels based on BP network[J]. Manufacturing Automation,2022,44(06):128-131.
Chen Z R,Gai L L. Kiln pressure control system of TFT-LCD ultra-thin float glass substrate production process based on intelligent control algorithm[J]. Building Materials World,2022,43(03):58-62.
Ren Xiaoyu. Semantic segmentation of glass in realistic scenes[D]. Inner Mongolia Normal University, 2022. DOI: 10.27230/d.cnki.gnmsu.2022.000810.
Lu Mingfeng,Wu Jinmin,Yang Wenming,Zhang Feng,Tao Ran. Newton's ring experiments based on signal processing and deep learning[J]. Physics Experiment,2022,42(04):17-24+40.DOI: 10.19655/j.cnki.1005-4642.2022.04.004.
Huang X-B, Gao Y-Han, Zhang Y, Zhao L, Wu Y-Q, Sun Su-Zhen. Glass insulator target recognition algorithm based on joint component grayscale algorithm and deep learning[J]. Power Automation Equipment,2022,42(04): 203-209.DOI: 10.16081/j.epae.202201032.
Wu, B., Yu, D. Y.. Deep convolutional neural network-based classification and detection of cell phone glass cover surface defects[J]. Software Engineering,2021,24(12): 6-10.DOI: 10.19644/j.cnki.issn2096-1472.2021.012.002.
Shi G. Research on the method of acquiring height information on the surface of glass substrate[D]. Xi'an University of Technology, 2021.DOI: 10.27398/d.cnki.gxalu.2021.000549.
Hao Shuai, Ma Rize, Zhao Xinsheng, Ma Xu, Wen Hu, An Beiyi. Self-exploding fault detection algorithm for glass insulators based on super-resolution depth residual network[J]. High Voltage Technology,2022,48(05): 1817-1825.DOI: 10.13336/j.1003-6520.hve.20210415.
Liu JH. Research on the improvement of production efficiency of custom wooden doors in M based on group formation technology[D]. South China University of Technology,2016.
Yu XL. Novel molecular parameter extraction model and its application in molecular conformational relationships[D]. Hunan University,2016.
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