Academic Journal of Materials & Chemistry, 2023, 4(1); doi: 10.25236/AJMC.2023.040107.
Xiaojun Xu, Yujia Ha
College of Mechanical and Electrical Engineering, Nanjing Tech University Pujiang in Stitute, Nanjing, 211222, China
Firstly, the correlation between categorical variables was studied, the relationship between non-parametric samples was established, the occurrence frequency of surface weathering and ornamentations, types and colors was counted, and the chi-square test model was established. Finally, the independence test was conducted. This time, for the analysis of the difference of multiple groups of data, the normal distribution test can be conducted on the chemical composition content proportion data, and the mean value fluctuation model can be established. Finally, through the significance test, it can be concluded that there is no obvious correlation between surface weathering and ornamentation, but ornamentation B is easier to be weathered than A and C. There is 99% certainty that "surface weathering is related to type", and high potassium is not easy to weathering, lead barium is easy to weathering; There was no significant correlation between surface weathering and color, but there were some differences between weathered and unweathered color species.
Glass; Surface weathering; Cardinality test model; Chemical composition content
Xiaojun Xu, Yujia Ha. Analysis and identification of glass products based on logistic regression. Academic Journal of Materials & Chemistry (2023) Vol. 4, Issue 1: 36-41. https://doi.org/10.25236/AJMC.2023.040107.
[1] Prabhu Nimitha S, Sharmila K, Karunakara N, Almousa Nouf, Sayyed M I, Kamath Sudha D. Thermoluminescence Dosimetric Attributes of Yb3+ Doped BaO-ZnO-LiF-B2 O3 Glass Material After Er3+ Co-doping.[J]. Luminescence: the journal of biological and chemical luminescence,2022,37(5).
[2] Ma Han, Liang Shunlin. Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model[J]. Remote Sensing of Environment, 2022, 273.
[3] Gilmar Veriato Fluzer Santos, Lucas Gamalel Cordeiro,Claudio Antonio Rojo,Edison Luiz Leismann. A Review of the Anthropogenic Global Warming Consensus: An Econometric Forecast Based on the ARIMA Model of Paleoclimate Series [J]. Applied Economics and Finance, 2022, 9(3).
[4] Vilasan, Reshma T., Kapse, Vijay S. Evaluation of the prediction capability of AHP and F-AHP methods in flood susceptibility mapping of Ernakulam district (India) [J]. Natural Hazards, 2022 (prepublish).
[5] Kumar Kapil. Comprehensive Composition to Spot Intrusions by Optimized Gaussian Kernel SVM [J]. International Journal of Knowledge-Based Organizations (IJKBO), 2022, 12(1).