基于BP神经网络的金属橡胶本构关系的预估方法

采用BP(back propagation)神经网络算法对金属橡胶的本构关系系数进行学习训练,对BP神经网络做了比较详细的介绍,讨论了如何运用神经网络去预估金属橡胶的非线性本构关系系数,选择了BP神经网络参量,通过对金属橡胶的静态压缩实验数据进行参数识别,获得仅材料密度变化、材料密度和形状因子两种因素同时变化两种情况的...

Prediction for constitutive relationship of metallic rubber based on BP neural net

Coefficients of constitutive relationship for metallic rubber were studied and trained by BP(back propagation) neural net.BP neural net was introduced elaborately,and how to predict coefficients of constitutive relationship by BP neural net was discussed.BP neural net parameters were chosen.Through parameter identification of static experimental data of metallic rubber,BP neural net models were obtained in two cases,including:various densities,various shape factors and densities;and further prediction for t...