基于支持向量机算法的造纸过程磨后纤维形态软测量模型

摘要

In this study, a soft measurement model of post-refining fiber morphology in a papermaking process based on support vector machine algorithm (SVM) was proposed. The model used the parameters of original pulp sheet and refining as input for online soft measurement of post-refining fiber morphology. The results showed that when SVM was used for modeling, the average relative error of the seven kinds of soft measurement models of post-refining fiber morphology was between 2.87% and 5.61%, which was better than the modeling based on PLS algorithm (the average relative error was between 3.09% and 6.60%), and the model precision was good, which met the error requirements of real-time fiber morphology measurement in production. ? 2020, China National Pulp and Paper Research Institute(CNPPRI). All right reserved.

关键词