中南大学学报（自然科学版）2011，Vol.42Issue(4)：960-965,6.
基于GRNN神经网络的中厚板轧机厚度预测
Thickness prediction of medium plate mill based on GRNN neural network
摘要
Abstract
According to the measured data of rolled 45 steel obtained from 4200 medium plate mill, a GRNN neural network prediction model was established by Matlab neural network toolbox. By analyzing the results, GRNN neural network model can predict the thickness well, and it has very small relative error. Compared with BP network and Elman network, GRNN network can improve its accuracy and stability to some extent.关键词
GRNN神经网络/中厚板/厚度预测Key words
GRNN neural network/ plate/ thickness/ prediction分类
信息技术与安全科学引用本文复制引用
郭斌,孟令启,杜勇,马生彪..基于GRNN神经网络的中厚板轧机厚度预测[J].中南大学学报（自然科学版）,2011,42(4):960-965,6.基金项目
国家自然科学基金资助项目(50175031) （50175031）
