The weathering of ancient glass under the influence of burial environment will result in the change of the composition ratio of glass. In order to identify the types of ancient glass products, this paper first establishes four multiple regression equations through a batch of existing weathered glass sample detection data, and obtains the chemical composition content rule of ancient glass surface weathering. Then, the difference between the absolute value of the predicted value and the actual value is the minimum as the basis for the identification of the unknown category of glass relics. Finally, the perceptron model optimized by particle swarm optimization is used as the auxiliary evidence to compare the results of the two, analyze the different categories, and finally get a more accurate answer.

Cui Wang. Identification of Ancient Glass Based on Multiple Rinear Regression. Academic Journal of Materials & Chemistry (2023) Vol. 4, Issue 6: 19-24. https://doi.org/10.25236/AJMC.2023.040604.

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