基于改进1DCNN+TCN的雷达辐射源快速识别方法
(temporal convolutional network,TCN)的雷达辐射源快速识别模型.在1DCNN的基础上加入了批归一化层,并在全连接层前加入注意力机制;同时在原有TCN的基础上进行改进,使用Leaky ReLU激活函数代替ReLU函数;将改进后的TCN与1DCNN相连接.仿真实验结果分析表明,该模型不仅能够迅速识别出辐射源信号,识别准确率也较高,能够有效...
To further improve the accuracy of traffic classification, we propose a hybrid method of 1DCNN-TCN-GRU for traffic data authorized classification. The proposed hybrid model extracts more complex features by combining the advantages of one-dimensional convolutional neural network (1DCNN), temporal ...
在1DCNN的基础上加入了批归一化层, 并在全连接层前加入注意力机制; 同时在原有TCN的基础上进行改进, 使用Leaky ReLU激活函数代替ReLU函数; 将改进后的TCN与1DCNN相连接。仿真实验结果分析表明, 该模型不仅能够迅速识别出辐射源信号, 识别准确率也较高, 能够有效平衡模型识别速度和识别精度。 关键词: 辐射源信号...
基于改进1DCNN+TCN的雷达辐射源快速识别方法 金涛, 王晓峰, 田润澜, 张歆东 Rapid recognition method of radar emitter based on improved 1DCNN+TCN Tao JIN, Xiaofeng WANG, Runlan TIAN, Xindong ZHANG 系统工程与电子技术 . 2022, (2): 463 -469 . DOI: 10.12305/j.issn.1001-506X.2022.02.14...
We propose an industrial fault diagnosis model. This model is established on the base of the temporal convolutional network(TCN) and the one-dimensional convolutional neural network(1DCNN). We add a batch normalization layer before the TCN layer, and the activation function...