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本文提出了线性电阻电路故障诊断的一种神经网络优化方法。其基本思想是应用Ｈｏｐｆｉｅｌｄ网络原理来处理Ｌ＿１范数问题，以此来进行诊断。对实例的计算证明此法是可行的。
This paper presents a neural network optimization method for fault diagnosis of linear resistor circuits. The basic idea is to use the Hopfield network principle to deal with the L_1 norm and to diagnose it. The calculation of the example proves that this method is feasible.