摘要
加热炉是复杂不规则系统 ,采用模糊控制器可克服许多常规模型无法解决的困难 ,本文提出了一种自适应模糊神经网络控制器 ,并讨论了自适应模糊神经网络的学习算法。试验表明 。
The system of the heating furnace in very complex. An adaptive neurofuzzy controller was proposed. A hybrid algorithm for the training of the adaptive neurofuzzy network were discussed. The results prove that the adaptive neurofuzzy controller has very good performances.
出处
《节能技术》
CAS
2002年第4期14-16,共3页
Energy Conservation Technology
关键词
加热炉
模糊控制器
神经网络
自适应
fuzzy controller
neural network
self-adaption
heating furnace