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本文用模糊神经网络算法解决了坦克故障诊断专家系统的具体模型。该算法是当前学术界上的一个热点。作者提出用坦克目标系统故障输出变量和网络系统输出变量的距离信息优化系统参数，未达到自适应目的的方法。同时提出并讨论网络元素过多时分阶段的算法。
In this paper, fuzzy neural network algorithm to solve the tank fault diagnosis expert system specific model. The algorithm is currently a hot spot in academia. The author proposes to optimize the system parameters by using the distance information between the fault output variables of the target system of the tank and the output variables of the network system, so that the method does not meet the purpose of self-adaptation. At the same time proposed and discussed network elements too much time-phased algorithm.