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 Niu

ABSTRACT

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 analysis

CITE 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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[2] Scientific Platform Serving for Statistics Professional 2021. SPSSPRO. (Version 1.0.11)[Online Application Software]. Retrieved from https://www.spsspro.com.
[3] Saroj, Kavita.Review: study on simple k mean and modified K mean clustering technique [J].International Journal of Computer Science Engineering and Technology, 2016, 6(7):279-281.
[4] Helmut Kopka, Patrick W. Daly, Guide to LaTeX (4th Edition) [M].Addison Wesley/Pearson Publishers, 2005.
[5] Mark M. Meerschaert, Academic Press [M]. Brooks Cole.

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