【含源码】基于人工神经网络的系统辨识仿真

这个例子显示了在高斯白噪声作用下，使用人工神经网络（ANN）对2DOF系统进行系统辨识。

This example file shows system identifcation using artificial neural network (ANN) of 2DOF system subjected to gaussian white noise. 

神经网络由以下几层组成：

-输入层：4个节点。

The neural network consist of the following layers: 

-Input layer: 4 nodes. 2 for the force at the current step and 2 for the displacement at the previous step 

-隐藏层

-Hidden layer: 2 nodes for two inner states because there are 2 modes for 2DOF system 

-输出层

-Output layer: 2 nodes for the displacement

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标签：displacement,layer,2DOF,system,人工神经网络,step,源码,nodes,辨识
来源： https://blog.csdn.net/update7/article/details/111046082