基于BP神经网络的非接触生命参数信号检测
BP神经网络,,BP神经网络;模式识别;非接触,0引言,1BP神经网络的基本模型及实验方法,2神经网络信号处理实验与结果,3讨论,【参考文献】
Detection of noncontact lifeparameter signals by BP neural networkYANG Dong, WANG JianQi, JING XiJing, NI AnSheng, LU GuoHua
Department of Electronic Engineering, School of Biomedical Engineering, Fourth Military Medical University, Xian 710033, China
【Abstract】 AIM: To detect noncontact lifeparameter signals by BP neural network METHODS: Simulated signals and the real signals were processed using a fourlayer BP neural network based on the software of the Matlab. RESULTS: Noncontact lifeparameter signals were identified against strong noise background. CONCLUSION: The method is effective in detecting the noncontact lifeparameter signals.
【Keywords】 BP neural networks; pattern recognition; noncontact
【摘要】 目的: 探讨基于BP神经网络的雷达式非接触生命参数信号检测方法. 方法: 采用四层BP神经网络的模式识别算法,利用Matlab软件环境编写算法程序,进行仿真实验与实际信号处理. 结果: 利用该方法进行非接触检测系统信号的识别,能够在强噪声背景下检测出生命参数信号. 结论: 该方法适用于随机性较强的微弱信号检测 ......
您现在查看是摘要页,全文长 8231 字符。