摘要
地面目标的地震动信号是目标识别的关键 ,本文研究了机动目标地震动特性 ,总结出目标的地震动信号的特征提取规律 ,并将神经网络方法用于目标的地震动信号的分类识别中。给出了识别结构及改进的BP算法 ,并将改进的BP算法用于实际目标的地震动信号的分类识别 。
The seismic properties of typical vehicle targets are studied and artificial neural network (ANN) technology is applied to recognition of seismic signal for target. An improved BP algorithm is presented which is used for classification and recognition of seismic signal for vehicle target under special outdoor environment. It can be confirmed that ANN is effective to solve the problem of classification and recognition of seismic signal for vehicle target.
出处
《振动与冲击》
EI
CSCD
北大核心
2001年第4期42-44,共3页
Journal of Vibration and Shock
