柳钢热轧普碳钢卷力学性能线性回归与神经网络预报模型的对比分析  

Contrastive Analysis on Linear Regression and Neural Network Forecasting Model of Mechanical Properties of Hot-rolled Common Carbon Strip in Liuzhou Steel

作　　者：熊良友 

机构地区：[1]广西柳州钢铁集团有限公司技术中心

出　　处：《柳钢科技》2017年第1期22-25,共4页

摘　　要：介绍利用柳钢热轧板卷Q235B、SS400的工艺数据,应用R语言的nnet包建立力学学性能神经网络预报模型,并对比分析线性回归模型的精度。By using the process data of hot-rolled strip Q235B and SS400 in Liuzhou Steel, the neural network forecasting model of mechanical properties was built by using the nnet package of R language, and the precisions of the linear regression model were compared and analyzed.

关 键 词：热轧板卷 力学性能 预报模型 神经网络 多元线性回归 R语言 

分 类 号：TG317[金属学及工艺—金属压力加工]