机译:基于卷积神经网络的滚动轴承性能劣化评估和深层长期记忆网络
Shanghai Jiao Tong Univ Sch Mech Engn Shanghai Peoples R China;
Shanghai Jiao Tong Univ Sch Mech Engn Shanghai Peoples R China;
Shanghai Jiao Tong Univ Sch Mech Engn Shanghai Peoples R China;
Shanghai Jiao Tong Univ Sch Mech Engn Shanghai Peoples R China;
Shanghai Jiao Tong Univ Sch Mech Engn Shanghai Peoples R China;
performance degradation assessment; feature extraction; convolutional neural network; long-short term memory network; deep learning;
机译:基于卷积神经网络的降解指示器建设和健康预测,用于滚动轴承的双向短期内存网络
机译:混合卷积神经网络(CNN)和基于长短短期存储器(LSTM)的深度学习模型,用于检测社交意识网络的先令攻击
机译:基于改进卷积神经网络的抗干扰滚动轴承性能降解评估
机译:考虑相位退化的基于深度卷积神经网络的滚动轴承健康指标构建
机译:基于卷积,长短时记忆,深度神经网络的非语言语音识别
机译:深度神经网络在灰指甲诊断中显示出与皮肤科医生相当且通常优于皮肤病的性能:通过基于区域的卷积深度神经网络自动构建灰指甲数据集
机译:级联融合卷积长短时间内存网络,用于剩余滚动轴承的使用寿命预测