介紹一種基于RBF 的模糊神經網絡設計與仿真分析的實現方法。該方法利用MATLAB 中的神經網絡工具箱圖形用戶界面GUI 結合模糊控制規則表給定的輸入/輸出樣本數據設計、構建RBF 模糊神經控制器，并在Simulink 中建立系統仿真模型。通過對階躍
輸入信號作用下系統動態性能的仿真分析，結果表明基于RBF 的模糊神經控制器有良好的控制性能。
關鍵詞：RBF 神經網絡；模糊神經網絡；控制器；仿真
Abstract: It is presented in this paper a design and simulation analysis method of the controller based on RBF fuzzy neural network. The method design and construct a fuzzy-neural controller by utilizing GUI of Neural Network Toolbox in MATLAB and I/O data stipulated in regulation table of fuzzy controller, and build an simulation model in the Simulink. By analyzing the dynamic characteristics of the whole system according to the step response, the simulation results show that fuzzy-neural controller has better controlling performance.
Keywords: RBF neural network; fuzzy neural network; controller; simulation