Considering the non-linear behavior of the viscoelastic material according to the change of environment, the GRNN is used to make a model to predict the dynamic property of the material.
考虑到粘弹性材料阻尼性能随环境的非线性变化，运用GRNN(广义回归网络)对粘弹阻尼材料动态力学性能函数进行逼近，并构建预测模型。
The experiment shows that the neural network material model has truly learned the behavior of triaxial specimens of sand.
试验表明，网络本构模型与实验结果吻合良好。
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