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以岩体的粘弹性位移反分析为基础，探讨了人工神经网络在非线性位移反分析中的应用。通过对粘弹性位移反分析样本集的学习，结合张家洼铁矿和三台子煤矿的位移测试数据，得到了二者的岩体力学参数，并与试验结果相接近。
Based on the viscoelastic displacement back analysis of rock mass, the application of artificial neural network in nonlinear displacement back analysis is discussed. By learning the viscoelastic displacement back analysis sample set and combining the displacement test data of the Zhangjiabu iron mine and the Santaizi coal mine, the rock mechanical parameters of the two are obtained and are close to the test results.