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本文针对参数固定的模糊控制系统难以适应控制过程中的工况变化的弊端，提出一种基于神经网络的模糊控制系统（ＮＦＣ），引入３层ＢＰ网络在线修正模糊控制器的参数，使得控制系统具有更好的动态特性和静态性能。
In this paper, a fuzzy control system based on neural network (NFC) is proposed to overcome the shortcomings of the fuzzy control system with fixed parameters in adapting to changes of working conditions during the control process. A three-layer BP network is introduced to modify the parameters of the fuzzy controller on-line so that the control system Has better dynamic and static performance.