Identification Model of Glass Relics Based on SVM Algorithm

The artistic value of glass relics in China has risen steadily, and the identification of glass relics is also playing an increasingly important role. This paper established an identification model of glass relics based on grid search (GS) optimized SVM classification, which solved the problem of determining whether the cultural relics belong to high potassium glass or lead barium glass through anonymous glass relics data. In the traditional SVM algorithm, this article added the GS optimization parameter-seeking method to improve the accuracy of SVM classification. In this paper, the model simulated and tested the selected dataset, and the model’s accuracy is 94.4%. This model provides a better identification method for the current shortage of scientific and technological identification methods for glass cultural relics identification.