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本文针对现有砌体结构可靠度评定方法的不足之处，从实际工程角度出发，提出了用于建筑物可靠度模糊综合评定的神经网络方法，讨论了该网络各层的物理意义及各系数的取值方法，并给出了实际工程算例。
In this paper, aiming at the insufficiency of the reliability evaluation methods for existing masonry structures, a practical neural network method for fuzzy comprehensive evaluation of building reliability is proposed from the perspective of practical engineering. The physical meanings and coefficients of each layer of the network are discussed. The value of the method, and gives a practical engineering example.