Ldentification of Ceramic Raw Material Components Based on Support Vector Machine
Aiming at the problem of scientific and reasonable classification of ceramic raw materials,the identification of ceramic raw materials based on support vector machine was proposed.Firstly,SVM theory is introduced in detail,and SVM linear kernel classifier and SVM Gaussian kernel classifier were constructed;Then,Then on this basis,the experiment of ceramic raw material classification is carried out,and the experi-mental results of ceramic raw material classification are compared and summarized.The experiment shows that the prediction accuracy of linear kernel support vector machine is 96.7％,which has stronger feasibility and good robustness.
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