摘要
提出了利用人工神经网络学习能力强的特点 ,构建一个树脂浓度的在线软测量模型 ,从而实现了对某生产过程聚合工序出料树脂浓度的检测和控制。仿真结果表明了本方案的优越性和可行性。
A system based on artificial neural network (ANN) for resin concentration control is presented. In the system, a soft measurement model for resin concentration is built by a novel modified back-propagation neural network method. And the high precision and good real time quality of this system are shown by the experiment.
出处
《计算机自动测量与控制》
CSCD
2000年第2期24-25,28,共3页
Computer Automated Measurement & Control
