摘要
利用改进的双滑动窗口时滞算法仿真由正弦波组成的冲击响应信号,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进行实际线性系统预测具有较大的理论和实用价值.
The improved double sliding window time-lag algorithm is used to simulate shock response signal consisting of sine wave, and simulating results show that using linear neural network to model hnear system has very high accuracy, which reveals that the application of linear neural system to the prediction of practical linear system has big theoretical and practical value.
出处
《重庆工商大学学报（自然科学版）》
2014年第1期69-73,共5页
Journal of Chongqing Technology and Business University:Natural Science Edition
基金
重庆市科委自然科学基金计划资助(2007BB2205)
