首页> 外国专利> NEURAL NETWORK ADAPTIVE SYSTEM FOR RECOGNISING OBJECTS FROM ACOUSTIC EMISSIONS THEREOF

NEURAL NETWORK ADAPTIVE SYSTEM FOR RECOGNISING OBJECTS FROM ACOUSTIC EMISSIONS THEREOF

机译:神经网络自适应系统,用于从声发射中识别物体

摘要

FIELD: physics.;SUBSTANCE: neural network adaptive system for recognising objects from acoustic emissions thereof consists of a receiving unit which includes a receiver and a preprocessing unit, having a preamplifier, a unit for selecting information-bearing features, an adaptation unit, a target type recognition unit which is in form of a neural network processing circuit, the system further including an energy channel unit, a switch and a display unit.;EFFECT: wider range of classified military equipment from acoustic emissions thereof using adaptation of a signal processing algorithm to speeds of aerodynamic and ground objects.;2 dwg
机译:领域:物理。实体:用于从声发射中识别物体的神经网络自适应系统包括接收单元,该接收单元包括接收器和预处理单元,该预处理单元具有前置放大器,用于选择信息承载特征的单元,适配单元,目标类型识别单元,采用神经网络处理电路的形式,该系统还包括一个能量通道单元,一个开关和一个显示单元。效果:利用信号处理的适配,从其声发射中获得更多分类军事装备空气动力学和地面物体速度的算法。; 2 dwg

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