计算机与数字工程2011，Vol.39Issue(4)：56-58,3.
基于SVM的丙烯酰胺均相聚合预测
Mathematic Model for Predicting Viscosity of Amphoteric Polyacrylamide Based on SVM
摘要
Abstract
Support vector machine is a novel statistical learning machine based on structural risk minimization principle instead of empirical risk minimization principle. in This paper presents a model of predicting viscosity of amphoteric polyacrylamide using Support Vector Regression(SVR). The result show that compared with the neural networks statistical analysis method the proposed method can give more accurate learning precision and better generalization ability.关键词
支持向量机/回归/丙烯酰胺/聚合预测Key words
support vector machine/ regression/ amphoteric polyacrylamider/ viscosity estimation分类
数理科学引用本文复制引用
刘德玲..基于SVM的丙烯酰胺均相聚合预测[J].计算机与数字工程,2011,39(4):56-58,3.
