正弦冲击信号双滑动窗口滞算法的数学仿真实验

Mathematical Simulation Experiment of Double Sliding Window Delay Algorithm with Impact Sine Signal

利用线性神经网络方法对由正弦波组成的冲击响应信号进行仿真实验。应用改进的双滑动窗口时滞算法确定网络输入的响应窗口,仿真结果显示利用线性神经网络对线性系统进行建模具有非常高的精度,表明应用线性神经网络来进行实际线性系统预测具有较大的理论实用价值。

Simulation experiment,the sine wave component shock response signal,was done by using the method of linear neural network.The response window of the network input was determined by using the improved double sliding window delay algorithm.The simulation results show that the linear system model based on linear neural network method has a very high accuracy. It also shows that a linear neural network has great theoretical and practical value for prediction of the actual linear system.