摘要
由于设备中各种测量信号受噪声污染 ,给测试分析带来了很大的困难。针对这一问题本文提出了基于模糊神经网络的自适应滤波方法用于设备的信号滤波 ,仿真结果进一步验证了本文方法的有效性。
As the measurement signals are usually contaminated by noises in equipment,it is difficult to analyse.For the problem,in this paper,a novel adaptive filter based on fuzzy-neural networks is proposed and applied in signal filtering.Simulation results show that this method is effective in this paper.
出处
《节能技术》
CAS
2004年第3期19-20,共2页
Energy Conservation Technology
关键词
自适应滤波
模糊神经网络
信号滤波
adaptive filtering
fuzzy-neural networks
signal filtering
