模糊神经网络控制技术在加热炉过程控制中的应用

Application of fuzzy neural network control technology in heating furnace processing control

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.