摘要
本文给出了用人工神经网络硬件构成的汽门控制器的适应性实验结果，控制器采用ＢＰ网络离线训练。动态物理模拟实验结果表明，神经网络汽门控制器具有较好的适应性。
The result of adaptability experiment for valving controller based on artificial neural network is presented in this paper. The controller is trained by off-line BP network. The result of dynamic simulation shows that the fast valving controller based on artificial neural network exist good adaptability.
出处
《电网技术》
EI
CSCD
北大核心
1996年第7期9-13,共5页
Power System Technology
关键词
汽门快控
神经网络
发电厂
模拟试验
Fast valving
Feed-forward neural network
Power system
Transient stability
