动态非线性工艺系统建模技术的发展现状分析

摘要

Analysis based on artificial neural network modeling dynamic nonlinear process system development status, the study pointed out the existence of two key common issues, namely, the choice of sample mass production performance issues and continuous time-varying parameters on-line extraction problem.%分析基于人工神经网络的动态非线性工艺系统建模的发展现状,指出当前研究中存在的两大关键共性问题,即海量生产实绩样本的选择问题和动态连续时变特征参数的在线提取问题.