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采用人工神经网络的方法描述了材料在疲劳损伤过程中的性能变化，并将材料的疲劳过程看作一个离散事件，建立了既能反映累积损伤的非线性效应，又能反映材料循环特性的疲劳损伤累积模型．通过将估算结果与实验值的比较，证明该方法有效地提高了寿命估算精度．
The method of artificial neural network is used to describe the change of material properties during the process of fatigue damage. The fatigue process of material is regarded as a discrete event, and the fatigue which can reflect both the non-linear effect of cumulative damage and the cyclic property of material Damage accumulation model. By comparing the estimation results with the experimental ones, it is proved that the method effectively improves the life estimation accuracy.