人工神经网络作为模式识别的一种重要工具得到了广泛的应用,但在状态识别领域,何种网络模型具有更好的应用效果,是一个值得研究的问题。在对用于状态识别的网络模型的比较和选择的基础上,选用了RBF网络作为高压断路器状态识别的模型,接着着重介绍了RBF神经网络状态识别的原理和算法及其在高压断路器状态识别中的具体应用。 Artificial neural network has been widely used as an important tool for pattern recognition. However, it is worth to study which network model has better application effect in the field of state recognition. Based on the comparison and selection of network models for state recognition, RBF network is selected as the model of high-voltage circuit breaker state recognition. Then, the principle and algorithm of RBF neural network state identification and its application in high-voltage circuit breaker Identify the specific application.