人工神经网络在结构建模上的应用

Application of Structure Modeling by Using ANN

对于结构控制 ,首先必须建立系统模型 ,而结构系统是非线性的、时变的 ,很难用常规方法来建模。运用学习速率自调整 BP误差逆传播网络对两种结构进行了建模 ,其一是预测结构地震响应 ,其二是建立MR阻尼器的理论模型。预测与仿真结果表明

It is necessary to establish a theory model for a structure before controlling it. Most structural systems ,however, are high nonlinear and it's difficult to found a model using traditional numerical method. In this paper, artificial neural network models for two structures are established by applying Back Propagation (BP) arithmetic, one is to predict the structural responses due to seismic loads, the other is to found a artificial neural network (ANN) model for magnetorheological (MR) fluid damper. The result shows that ANN can establish models effectively for non line structures.