[HTML][HTML] 卷积神经网络及其在智能交通系统中的应用综述
马永杰， 程时升， 马芸婷， 马义德 - 交通运输工程学报, 2021 - transport.chd.edu.cn
从特征传输方式, 空间维度, 特征维度3 个角度, 论述了近年来卷积神经网络结构的改进方向,
介绍了卷积层, 池化层, 激活函数, 优化算法的工作原理, 从基于值, 等级, 概率和转换域四大类 …
介绍了卷积层, 池化层, 激活函数, 优化算法的工作原理, 从基于值, 等级, 概率和转换域四大类 …
Optimization of deep convolutional neural network for large scale image retrieval
Feature extraction and similarity measurement are two key steps in image retrieval. AlexNet
is a classical deep convolutional neural network for image classification, but using it directly …
is a classical deep convolutional neural network for image classification, but using it directly …
[HTML][HTML] Review of convolutional neural network and its application in intelligent transportation system
MA Yong-jie, C Shi-sheng, MA Yun-ting… - 交通运输工程 …, 2021 - transport.chd.edu.cn
From the perspectives of feature transmission mode, spatial dimension and feature
dimension, the improvement directions of convolution neural network structure in recent …
dimension, the improvement directions of convolution neural network structure in recent …
[PDF][PDF] 基于DenseNet 进化的卷积神经网络图像分类算法
马永杰， 刘培培 - Laser & Optoelectronics Progress, 2020 - researching.cn
摘要卷积神经网络(CNN) 的结构与参数决定了其在图像分类中的性能, 针对深度网络结构复杂,
参数量较大的问题, 提出了一种基于稠密连接网络进化的CNN (D-ECNN) 图像分类算法 …
参数量较大的问题, 提出了一种基于稠密连接网络进化的CNN (D-ECNN) 图像分类算法 …
Improvement of the AlexNet networks for large-scale recognition applications
Z Wu, S He - Iranian Journal of Science and Technology …, 2021 - Springer
In this paper, the deep convolutional neural networks (DCNNs) are studied to perform the
complex feature extraction on the image in the convolution layer and to improve the final test …
complex feature extraction on the image in the convolution layer and to improve the final test …
[PDF][PDF] 基于循环神经网络的无线网络入侵检测分类模型构建与优化研究
陈红松， 陈京九 - 电子与信息学报, 2019 - jeit.ac.cn
为提高无线网络入侵检测模型的综合性能, 该文将循环神经网络(RNN) 算法用于构建无线网络
入侵检测分类模型. 针对无线网络入侵检测训练数据样本分布不均衡导致分类模型出现过拟合的 …
入侵检测分类模型. 针对无线网络入侵检测训练数据样本分布不均衡导致分类模型出现过拟合的 …
Crowd counting method based on convolutional neural network with global density feature
Z Liu, Y Chen, B Chen, L Zhu, D Wu, G Shen - IEEE Access, 2019 - ieeexplore.ieee.org
Crowd counting is an important research topic in the field of computer vision. The multi-
column convolution neural network (MCNN) has been used in this field and achieved …
column convolution neural network (MCNN) has been used in this field and achieved …
Recurrent neural networks based wireless network intrusion detection and classification model construction and optimization
H CHEN, J CHEN - 电子与信息学报, 2019 - jeit.ac.cn
In order to improve the comprehensive performance of the wireless network intrusion
detection model, Recurrent Neural Network (RNN) algorithm is used to build a wireless …
detection model, Recurrent Neural Network (RNN) algorithm is used to build a wireless …
[PDF][PDF] A convolutional neural network image classification based on extreme learning machine
S Wang, D Liu, Z Yang, C Feng, R Yao - IAENG Int. J. Comput. Sci, 2021 - iaeng.org
To improve the classification accuracy of the massive amount of image data, we propose a
novel extreme learning machine classification model for image classification which based …
novel extreme learning machine classification model for image classification which based …