ID 原文 译文
51467 基于卷积神经网络的网络流量分类算法中，为了提高分类准确度，其结构设计日趋复杂，容易出现梯度下滑甚至梯度消失，导致预测准确度不升反降。 Convolutional neural network based network traffic classification scheme suffers many disadvantages such as the complex structure designing, gradient declines or even explodes, the deterioration of prediction accuracy, and etc.
51468 文章提出了一种基于残差网络的改进流量分类算法， A residual network based improved traffic classification algorithm is proposed.
51469 引入残差网络层代替传统卷积神经网络中的卷积层和池化层，不仅缓解了传统卷积网络因层次太深导致难以训练的问题，同时与传统卷积运算相比， The convolution layer and pooling layer in the traditional convolutional neural network are replaced by the residual network layer, which can alleviate the problem that the traditional convolution network is too deep to train effectively.
51470 所提出的残差网络在训练时学习到的数据特征信息更加全面，训练后的模型也更加准确。 The data feature information learned by the proposed algorithm in the training stage is more comprehensive, and the trained model can also be more accurate.
51471 仿真结果表明，改进后的算法比常规的神经网络算法表现更佳，分类准确度从92. 05%提高到了96. 18%。 Simulation results show that the improved algorithm has higher accuracy than the traditional neural network, which can be improved from 92. 05% to 96. 18%.
51472 针对可见光通信系统传输性能问题，文章提出了一种无载波幅度相位(CAP)调制与数字脉冲间隔调制(DPIM)结合的混合调制方案。 In order to improve the performance of indoor Visible Light Communication(VLC) system, a hybrid modulation scheme combining Carrierless Amplitude Phase(CAP) modulation and Digital Pulse Interval Modulation(DPIM) is proposed.
51473 该方案分别利用两者频谱效率和功率效率较高的特点， This scheme takes advantage of both characteristics of higher spectral efficiency and power efficiency.
51474 发送端在脉冲间隔调制的脉冲时隙加载直流偏置光CAP(DCO-CAP)信号，实现混合调制信号的并行生成， A parallel modulation structure is adopted to realize the signal generation at the transmitter side, and the transmission of Direct Current biased Optical-CAP(DCO-CAP) signal are controlled by pulse time slot of the pulse interval modulation.
51475 接收端通过门限检测和最大似然检测完成混合调制信号的串行解调。 The threshold value detection and the maximum likelihood criterion are used to complete the serial demodulation of modulated signals at the receiver side.
51476 推导了室内可见光高斯信道下混合调制方案的误码率(BER)及误帧率(FER)解析表达式。 Analytical expressions of Bit Error Rate(BER) and Frame Error Rate(FER) for the hybrid modulation scheme over Gaussian channel are derived.