摘要
将模糊控制和神经网络技术相结合 ,借助神经网络的学习能力和信息存储能力来实现模糊推理过程 ,并记忆和调整模糊规则 ,从而自动生成模糊控制规则 ,建立模糊神经网络。系统对模糊神经网络进行离线学习 ,将训练好的模糊神经网络用于在线控制 ,仿真结果表明 ,本文方法用于对陶瓷配料系统的控制 ,取得了无超调。
In this paper,the system in which fuzzy neural network is applied to ceramic materials is described.The system takes the advantages of both fuzzy control and neural network control.It achieves fuzzy inference process and can memorize and regulate fuzzy network rules with the help of its self learning ability and information storage ability.Then it can automatically generate an effective fuzzy neural network which is used in fuzzy controller.The system can train its fuzzy neural networks off line, and then use the trained networks for on line control.The simulation results show that performances of the mixture of ceramic materials using fuzzy neural network are satisfactory.
出处
《洛阳工学院学报》
2001年第3期64-67,共4页
Journal of Luoyang Institute of Technology
