摘要
基于石墨化炉况的大量研究,提出采用径向基函数网络建立石墨化炉过程模型,以期实现精确控制.该模型计算机仿真结果非常理想,其拟和精度很高.
On the basis of lots of study on present graphitizing furnace, RBF neural network is put forward to model graphitizing furnace in order to make accurate control. This model has obtained ideal simulation result on computers. The fitting precision of the model is very satisfying.
出处
《吉林化工学院学报》
CAS
2006年第2期40-42,共3页
Journal of Jilin Institute of Chemical Technology
关键词
石墨化
径向基函数网络
最小二乘法
动态网络
graphitizing
radial basis function network
least square method
dynamic network
