Two Support Vector Machine Regression Models for Quality Variation Prediction

In this paper, two support vector machine regression models for quality variation were put forward. Through two quality variation prediction cases, based on mean square error and relative error rate of the training and test result, the method of the support vector machine regression and neural networks was analyzed, and effectiveness of the two models was verified.