A Mathematical Model for Analyzing and Identifying the Composition of Ancient Glass Objects and Its Application
DOI: 10.23977/jmpd.2022.060211 | Downloads: 23 | Views: 680
Author(s)
Chengwen Niu 1, Wencheng Wang 1, Nianwei Li 1
Affiliation(s)
1 College of Information Science and Engineering, Shandong Agricultural University, Taian, Shandong, 271017, China
Corresponding Author
Chengwen NiuABSTRACT
Aiming at the urgency of today's heritage conservation, a detection model based on gray correlation analysis and systematic clustering model is established using gray correlation analysis and systematic clustering algorithm, taking ancient glass relics as the research object. And in the paper, it is applied for the actual data and achieved good practical results. In addition, the model was optimized by using multiple linear regression to further improve the fit of the model with the actual data.
KEYWORDS
Grey relational analysis, Hierarchical cluster method, Association, Chemical composition associations, Sensitivity analysisCITE THIS PAPER
Chengwen Niu, Wencheng Wang, Nianwei Li, A Mathematical Model for Analyzing and Identifying the Composition of Ancient Glass Objects and Its Application. Journal of Materials, Processing and Design (2022) Vol. 6: 86-95. DOI: http://dx.doi.org/10.23977/jmpd.2022.060211.
REFERENCES
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