Key Laboratory of Aerospace Materials and Performance (Ministry of Education),School of Materials Science and Engineering, Beihang University,100191 Beijing;
Key Laboratory of Aerospace Materials and Performance (Ministry of Education),School of Materials Science and Engineering, Beihang University,100191 Beijing;
Key Laboratory of Aerospace Materials and Performance (Ministry of Education),School of Materials Science and Engineering, Beihang University,100191 Beijing;
Key Laboratory of Aerospace Materials and Performance (Ministry of Education),School of Materials Science and Engineering, Beihang University,100191 Beijing;
acoustic emission; damage identification; back propagation neural network; dempster-shafer evidence theory;
机译:人工神经网络在振动试验数据识别桥梁大梁中的应用
机译:基于涡流测试和人工神经网络分析实验结果的钢筋混凝土浸泡钢筋识别
机译:频率内容对数值和实验桥数据测试人工神经网络损伤检测系统性能的影响
机译:基于人工神经网络的16Mn钢损伤识别及拉伸试验中的数据融合技术研究
机译:人工神经网络在基于振动的损伤识别中的应用。
机译:基于无损检验的钢种分类的人工神经网络
机译:使用无损检测,基于框架能量的统计特征和人工神经网络的结构钢板损伤检测
机译:使用aTLas Tile量热仪模拟数据和人工神经网络技术识别具有低p(sub(Tau))μ子的b射流