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模糊神经网络在陶瓷配料系统控制中的应用
引用本文:肖隽亚,张自强,姬宪法,李国勇,朱永强.模糊神经网络在陶瓷配料系统控制中的应用[J].河南科技大学学报(自然科学版),2001,22(3):64-67.
作者姓名:肖隽亚  张自强  姬宪法  李国勇  朱永强
作者单位:1. 洛阳工学院电气工程系
2. 南阳威克达汽车齿轮股份有限公司
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、无静差等令人满意的效果

关 键 词:模糊控制  神经网络  陶瓷配料系统  系统控制
文章编号:1000-5080(2001)03-0064-04
修稿时间:2001年3月7日

The Application of Fuzzy Neural Network in the Mixture of Ceramic Materials
XIAO Jun Ya ,ZHANG Zi Qiang ,JI Xian Fa ,LI Guo Yong ,ZHU Yong Qiang.The Application of Fuzzy Neural Network in the Mixture of Ceramic Materials[J].Journal of Henan University of Science & Technology:Natural Science,2001,22(3):64-67.
Authors:XIAO Jun Ya  ZHANG Zi Qiang  JI Xian Fa  LI Guo Yong  ZHU Yong Qiang
Institution:XIAO Jun Ya 1,ZHANG Zi Qiang 1,JI Xian Fa 1,LI Guo Yong 2,ZHU Yong Qiang 2
Abstract: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.
Keywords:Fuzzy control  Neural network  The mixture of ceramic material  System control
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