ID 原文 译文
52807 首先从时域、频域、时频域等角度提取了表面肌电信号特征， Firstly, the features of s EMG signals are extracted from time domain, frequency domain, and time frequency domain.
52808 然后利用灰狼算法优化极限学习机核函数参数， Then, the extreme learning machine kernel function parameters are optimized by the gray wolf algorithm with multi-core extreme learning machine theory.
52809 最后用多核极限学习机理论，获得最优的分类模型。 Finally, the optimal classification model is obtained by using multi-core learning extreme learning machine theory.
52810 实验结果表明，基于多核学习极限学习机的助行机器人运动相容性识别准确率较单核极限学习机有明显提高。 The experimental results show that the recognition accuracy based on multi-core learning extreme learning machine of walking robot motion compatibility recognition is better than extreme learning machine.
52811 为了提高线缆表面缺陷检测正确率，本文提出一种改进Deeplabv3+网络的图像分割方法并将其应用于线缆表面缺陷检测。 In order to improve the accuracy of cable surface defect detection, an improved image segmentation method of Deeplabv3 + network is proposed and applied to cable surface defect detection.
52812 该方法基于Deeplabv3+网络骨架不变，将空间金字塔结构由4个空洞卷积改为8个空洞卷积并在其后增加1×1的卷积环节; Based on Deeplabv3 + network skeleton unchanged, the spatial pyramid structure is changed from 4 dilated convolutions to 8 dilated convolutions and then 1 × 1 convolution is added.
52813 同时在解码融合后用一个并联结构来减少整个网络传输过程的信息丢失。 At the same time, a parallel structure is used to reduce the information loss during the whole network transmission process after decoding and fusion.
52814 利用改进的算法对线缆表面缺陷图片数据集训练和测试，结果表明改进算法在准确度和平均交并比(MIOU)较原始的Deeplabv3+分析效果更好; The improved algorithm is used to train and test the cable surface defect image data set, and the results show that it is better than the original Deeplabv3 + analysis in accuracy and mean intersection over union(MIOU).
52815 相较于边缘分割和阈值分割等算法，改进算法提高了线缆表面缺陷检测的准确率。 Compared with edge segmentation, threshold segmentation and other algorithms, the proposed algorithm improves the detection accuracy of cable surface defects.
52816 变速箱是履带车辆底盘的核心部件之一， The gearbox is one of the core components of the track vehicle chassis.