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。
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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