摘要
基于遗传神经网络,建立动态前馈校正模型,自动调节轧制所需的各种参数,使轧钢系统工作在最佳值附近。经实测资料验证,模型能较准确预置调节参数,实现智能化控制。
This paper establishes dynamic forward feedback correction model and regulates voluntarily the various rolling parameters by adopting hereditary neural network. It makes the system of steel rolling working in best value nearby. Verified by the information of aetual measurement, the model can be more accurate to preset and regulate rolling parameters, and can realize intelligent control.
出处
《机械工程与自动化》
2006年第1期10-12,共3页
Mechanical Engineering & Automation
关键词
神经网络
前馈校正
调节参数
智能化控制
neural network
forward feedback correction
regulate parameters
intclligent control
