摘要
研究用RBF神经网络建立石墨化炉过程模型,提出了RBF网络中心点选取方法,所建立的模型精度满足现场要求。
This paper presents the study of modelling of graphitizing furnace by use of RBF neural network. A method for selecting the centers of the RBF neural network is proposed. The simulation results show that the model established by the method proposed is satisfactory.
出处
《控制与决策》
EI
CSCD
北大核心
1997年第5期576-580,共5页
Control and Decision
关键词
石墨化炉
RBF
神经网络
石墨
电极材料
graphitizing furnace, radial basis function network, least square methad
