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给出一种结构简单、权值意义清晰的模糊神经网络的设计方法,该网络可在线从数据中自动提取控制规则,运算速度快,将其用干参数未知的被控对象进行模型参考自适应控制,仿真表明系统具有较强的鲁棒性和自适应能力,
This paper presents a design method of fuzzy neural network with simple structure and clear weight meaning. The network can automatically extract control rules from the data online, and the calculation speed is fast. The model is self-adaptive to the controlled object with unknown dry parameter Control, simulation shows that the system has strong robustness and self-adaptive ability,