摘要
线材温度控制的研究是线材生产中控制的主要问题。本文利用广义回归神经网络预测线材的温度,利用预测结果控制水箱的喷水量,从而达到控制线材温度的目的,仿真结果表明此方法是有效的。
The research on control of wire temperature has a clear mark of identity devoted to the study in control of wire producing.An algorithm model based on general regression neural network technology is offered in this paper to forecast the temperature of the wire,accordingly,we can control the quantity of water spouted by water tank,then we can control the temperature of the wire.The result of simulation shows it is an effective way.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2006年第z1期839-841,共3页
Chinese Journal of Scientific Instrument
关键词
线材
广义神经网络
预测
wire general regression neural network prediction
