Soft-sensor modeling of quality control based on support vector machine
基于支持向量机的质量控制软测量建模

On the basis of studying Support Vector Machine (SVM) theory, a soft-sensor controlling method based on Support Vector Machine wass presented. In order to solve the problem of getting the important parameter that is hard to be measured online and has long time-delay, a soft-sensor controlling method based on support vector machine was presented. In the control process, modeling techniques have been studied intensively, and then RBF kernel function was chosen to establish an exact support vector machine model. On the background of quality control in a company, the online estimate of output value was realized. Under the circumstance of changing and choosing different parameters and through a lot of research and simulation, a relatively better generalization result model was established.