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对 RBF神经网络的结构和特性进行了简要的概述 ,指出 RBF网络可避免网络训练局部最优问题 ,是一种分类能力较强的神经网络。应用该方法设计出神经网络故障诊断系统 ,并对磨矿设备进行的模拟验证 ,结果表明网络的应用是成功的。
The structure and characteristics of RBF neural network are briefly summarized. It is pointed out that RBF neural network can avoid the local optimal problem of network training and is a neural network with strong classification ability. The method is applied to design a neural network fault diagnosis system and simulate the grinding equipment. The results show that the application of the network is successful.