The Application Of Several Data Mining Algorithms In The Classification Of Ceramic Materials

Ceramics are highly respected by the world because of their extremely high practicality and artistry.Today,with the ever-increasing development of ceramic technology,people are increasingly demanding ceramic products.In the fiercely competitive market for ceramic products,their quality is the key to our leading position in the industry.The quality of ceramic raw materials determines the quality of ceramic products,so the selection of appropriate ceramic raw materials is the basis for the production of high-quality ceramic products.First of all,the composition,structure and performance of ceramic raw materials are often different due to factors such as geological conditions.Secondly,the unstable supply of standardized raw materials makes the selection of ceramic raw materials and the search for raw material substitutes difficult.Therefore,scientific classification and accurate identification of ceramic raw materials are particularly important.By analyzing the development status of the ceramic industry,the author applies more cutting-edge data mining technology to the classification analysis of ceramic raw materials.Provide a reference for accurate and fast identification of ceramic raw materials and alternative raw materials.In this paper,the chemical composition and loss of ignition of ceramic raw materials are used as discriminant factors to analyze the model.The ceramic raw materials are divided into four categories,namely Class ?,Class ?,Class ?,and Class ?[2].(Select the main clay chemical composition commonly used in China's ceramic industry in"Ceramic Technology" as the original experimental data).Then buy using the radial basis neural network,random forest,BP neural network,support vector machine,extreme learning machine and kernel extreme learning machine establish the discriminant analysis model of ceramic raw materials.By comparing the prediction and discrimination results of the same data,a fast and accurate prediction method is selected,which is used in the classification analysis of ceramic raw materials and provides a reliable basis for the classification of ceramic raw materials.The research results show that the classification effect of the kernel extreme learning machine algorithm is the best,which is suitable for popularization and application in actual production.