基于SVR算法的环模制粒机输出预测 |
| |
引用本文: | 薛源,吴建国.基于SVR算法的环模制粒机输出预测[J].工业控制计算机,2013(12):56-58. |
| |
作者姓名: | 薛源 吴建国 |
| |
作者单位: | 南通大学电气工程学院,江苏南通226019 |
| |
基金项目: | 南通市应用研究计划项目(BK2012030) |
| |
摘 要: | 在简化环模制粒机模型的基础上确定了输入输出变量。将实验测得的数据样本分为训练集和测试集,运用SVR算法建立了SVM模型,预测了环模制粒机的输出,并在Matlab中实现。均方根误差MSE和平方相关系数R都在允许的范围内,取得了良好的预测效果。
|
关 键 词: | 环模制粒机 SVR 预测 |
Prediction of Output of Hoop Standard Granulator Based on SVR |
| |
Abstract: | In this paper,after simplifing the model of the hoop standard granulator,get the input and output variables.The experiment measured data samples can be divided into training set and testing set,establishing the SVM model by SVR,predicting the output of the hoop standard granulator,meanwhile,it is realized in Matlab.Mean square error and square correlation coefficient are allowed,achieving good prediction effect. |
| |
Keywords: | hoop standard granulator SVR prediction |
本文献已被 维普 等数据库收录! |
|