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Partially Stabilized Zirconia Stability Prediction Based on SVMR
Author(s): 
Pages: 62-65
Year: Issue:  12
Journal: China Ceramics

Keyword:  partially stabilized zirconiastabilitysupport vector machine for regressionBP neural networkMatlab;
Abstract: In order to predict the stability of partially stabilized zirconia, the related domestic and foreign research methods for data processing are discussed; partially stabilized zirconia stability prediction method based on support vector machine for regression has been put forward. First of all, relevant data for test are selected from the project example; secondly, support vector machine for regression model and BP neural network model are created by using Matlab; finally, experiment simulation has been finished. The predicted results show that, support vector machine for regression is an effective method for partially stabilized zirconia stability prediction, and the performance of support vector regression is better than BP neural network model.
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