摘要
神经网络的自学习、自适应和并行处理等特性,使得它们在现代控制系统中得到了广泛的应用。结合温度的时变、滞后和非线性的特性,提出了一种基于人工神经网络的控制算法,并经计算机仿真表明,该算法具有响应速度快、精度高和鲁棒性的特点。
The character of neural network's self study,self adapting and parallel processing are extensive using in modern control system.This article combining temperature's time-variation,hysteresis and nonlinear put forwards a kind of control algorithm which based on manual neural network and this algorithm has the character of high-speed response,high-precision and robust through computer's simulation.
出处
《工业控制计算机》
2005年第7期21-22,共2页
Industrial Control Computer
