Searchconvolution neural networkreturned 27 results

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1

Parallel deep convolution neural network optimization algorithm based on Spark and AMPSO

基于Spark和AMPSO的并行深度卷积神经网络优化算法

Liu Weiming

Luo Quancheng

Mao Yimin

Peng Zhe

parallel DCNN algorithm

Spark

PDCNN-SAMPSO algorithm

load balancing

No. 10, 2023 : 2957-2966 doi:10.19734/j.issn.1001-3695.2023.03.0083

2

Hierarchical intent disentangling for graph convolution neural network recommendation model

基于层次意图解耦的图卷积神经网络推荐模型

Wu Tianhui

Sun Fuzhen

Zhang Wenlong

Dong Jiawei

Wang Shaoqing

recommendation system

graph convolution neural network

hierarchical intent recommendation

collaborative filtering

disentangled representation learning

No. 5, 2023 : 1341-1345,1351 doi:10.19734/j.issn.1001-3695.2022.10.0543

3

Spectrum signal identification based on frequency-domain superposition and deep learning

基于频域叠加和深度学习的频谱信号识别

Zhou Yuhang

Hou Jin

Li Jiaxin

Li Huisen

wideband spectrum detection

frequency-domain superposition

convolution neural network

object detection

No. 3, 2023 : 874-879 doi:10.19734/j.issn.1001-3695.2022.07.0386

4

Depth convolution matching algorithm for multi-temporal remote sensing images

多时相遥感影像的深度卷积匹配算法研究

Wei Chuntao

Li Yuanzhe

multi-temporal image

deep learning

double filtering double constraints

convolution neural network

image matching

No. 3, 2023 : 932-937 doi:10.19734/j.issn.1001-3695.2022.06.0357

5

Full convolution neural network model for 6DoF attitude and size estimation

面向目标6DoF姿态与尺寸估计的全卷积神经网络模型

Liu Zeyang

Jia Di

6DoF attitude estimation

attention mechanism

full convolutional neural network

3D point cloud

No. 3, 2023 : 938-942 doi:10.19734/j.issn.1001-3695.2022.06.0319

6

Parallel deep convolution neural network optimization based on Im2col

基于Im2col的并行深度卷积神经网络优化算法

Hu Jian

Gong Ke

Mao Yimin

Chen Zhigang

Chen Liang

big data

DCNN algorithm

parallel computing

feature extraction

image classification

No. 10, 2022 : 2950-2956,2961 doi:10.19734/j.issn.1001-3695.2022.03.0114

7

Collaborative filtering recommendation algorithm based on adaptive neural graph convolution attention neural network

基于自适应图卷积注意力神经协同推荐算法

Du Yuxuan

Wang Wei

Zhang Chuang

Zheng Xiaoli

Su Jiatao

Wang Yangyang

recommendation system

adaptive

graph convolution neural network

attention mechanism

collaborative filtering

No. 6, 2022 : 1760-1766 doi:10.19734/j.issn.1001-3695.2021.11.0631

8

Fusion network based on attention mechanism for infrared and visible images

基于注意力机制的红外与可见光图像融合网络

Chen Yihan

Zheng Qianying

image fusion

convolution neural network

trainable fusion strategy

CNN

visible image

No. 5, 2022 : 1569-1572,1585 doi:10.19734/j.issn.1001-3695.2021.10.0422

9

Lightweight multi-information graph convolution neural network action recognition method

轻量级多信息图卷积神经网络动作识别方法

Jing Wang

Li Wanggen

Shen Gongpu

Fan Baozhu

lightweight

graph convolutional neural network

action recognition

multi-channel adaptive graph

random pool data preprocessing

No. 4, 2022 : 1247-1252 doi:10.19734/j.issn.1001-3695.2021.07.0329

10

Automatic fault diagnosis method based on neural architecture search for industrial processes

基于网络结构搜索的工业过程自动故障诊断方法

Li Xian

Li Xin

Zhou Xiaofeng

Li Shuai

Jin Liang

automatic fault diagnosis

complex industrial processes

neural architecture search

multi-channel convolution neural network

performance prediction

No. 3, 2022 : 807-813 doi:10.19734/j.issn.1001-3695.2021.08.0362

11

Environmental sound classification based on multi-resolution features and time-frequency attention

基于多分辨率特征和时频注意力的环境声音分类

Liu Hui

Li Xiaoxia

He Hongsen

environmental sound classification(ESC)

convolution neural network(CNN)

time-frequency attention module

multi-channel features

multi-resolution features

No. 12, 2021 : 3569-3573 doi:10.19734/j.issn.1001-3695.2021.05.0184

12

Multi-stream convolutional myoelectric gesture recognition networks fusing attentional mechanisms

融合注意力机制的多流卷积肌电手势识别网络

Li Yanhong

Jiang Xi

Zou Ke

Yuan Xuedong

gesture recognition

sEMG

convolution neural network

attention mechanism

No. 11, 2021 : 3258-3263 doi:10.19734/j.issn.1001-3695.2021.04.0100

13

Parallel deep convolution neural network optimization algorithm based on big data

基于大数据的并行化深度卷积神经网络优化算法

Mao Yimin

Zhang Ruipeng

Cao Wenliang

deep convolutional neural network(DCNN) algorithm

MapReduce framework

conjugate gradient strategy based on modified secant equation(CGMSE)

pruning method based on feature map(PFM) strategy

load balancing strategy based balancing load rate(LBRLA) strategy

No. 5, 2021 : 1416-1421 doi:10.19734/j.issn.1001-3695.2020.04.0112

14

Monocular depth estimation based on light-weight pyramid decoder convolution neural network

轻量金字塔解码结构的单目深度估计网络

Jia Ruiming

Li Tong

Li Yang

Wang Yiding

monocular depth estimation

convolution neural network

encoder-decoder

light-weight pyramid decoder

No. 1, 2021 : 293-297 doi:10.19734/j.issn.1001-3695.2019.09.0580

15

3D-ACC：convolution neural network accelerator based on 3D integrated circuits

3D-ACC：基于3D集成电路的卷积神经网络加速结构研究

Wang Jijun

Hao Ziyu

Li Hongliang

3D integrated circuits

systolic array

loop tiling

performance model

No. 12, 2020 : 3671-3676,3680 doi:10.19734/j.issn.1001-3695.2019.08.0558

16

Research on bearing fault diagnosis based on WGAN and GAPCNN under imbalance of data

数据失衡下基于WGAN和GAPCNN的轴承故障诊断研究

Xue Zhenze

Man Junfeng

Peng Cheng

Deng He

fault diagnosis

deep learning

rolling bearing

generative adversarial networks

convolution neural network

No. 12, 2020 : 3681-3685 doi:10.19734/j.issn.1001-3695.2019.07.0555

17

Pedestrian detection method based on adaptive feature convolution network

基于自适应特征卷积网络的行人检测方法

Chen Qiaosong

Gong Panhao

Shen Fahai

Tao Ya

Dong Guangxian

Wang Jin

Deng Xin

pedestrian detection

convolution neural network

shallow detail features

adaptive feature

No. 7, 2020 : 2202-2205,2226 doi:10.19734/j.issn.1001-3695.2019.02.0032

18

Research on image super-resolution algorithm based on improved convolutional neural network

基于改进卷积神经网络的图像超分辨率算法研究

Hu Xiaohui

Zhang Jianguo

low resolution(LR)

super-resolution(SR)

convolution neural network

image processing

recovery

No. 3, 2020 : 947-950,956 doi:10.19734/j.issn.1001-3695.2018.10.0785

19

Sentence classification model based on convolution neural network and Bayesian classifier

基于卷积神经网络和贝叶斯分类器的句子分类模型

Li Wenkuan

Liu Peiyu

Zhu Zhenfang

Liu Wenfeng

deep learning

sentence classification

convolutional neural network(CNN)

principal component analysis

Bayesian classifier

No. 2, 2020 : 333-336,341 doi:10.19734/j.issn.1001-3695.2018.07.0525

20

Human action recognition based on deep learning

基于深度学习的人体动作识别方法

Li Yupeng

Liu Tingting

Zhang Liang

depth information

human action recognition

deep learning

spatially structured dynamic depth images

deep convolution neural network(DCNN)

No. 1, 2020 : 304-307,316 doi:10.19734/j.issn.1001-3695.2018.05.0499

21

Recognition algorithm of emitter signal based on DAE+CNN

基于DAE+CNN辐射源信号识别算法

Ye Wenqiang

Yu Zhifu

Zhang Kui

radar emitter

short time Fourier transform(STFT)

denoising auto-encoder(DAE)

convolution neural network(CNN)

softmax

No. 12, 2019 : 3815-3818 doi:10.19734/j.issn.1001-3695.2018.07.0409

22

User-specific method for aesthetic images recommendation

一种用户偏好的美学图像推荐方法

Xu Yongbo

Su Shimei

Fan Longqing

deep convolution neural network

aesthetic rules

user preferences

No. 12, 2019 : 3853-3856 doi:10.19734/j.issn.1001-3695.2018.07.0436

23

Convolution neural network based real-time ambient occlusion computing

基于卷积神经网络的实时环境光遮蔽计算

Guo Yuxiao

Chen Leiting

ambient occlusion

Monte-Carlo denoise

convolution neural network

screen space

auto encoder

No. 6, 2019 : 1883-1886,1896 doi:10.19734/j.issn.1001-3695.2018.01.0054

24

Light field super-resolution using global and local multi-views

融合全局与局部视角的光场超分辨率重建

Deng Wu

Zhang Xudong

Xiong Wei

Wang Yizhi

super-resolution

light field

convolution neural network

adaptive

global view

local view

No. 5, 2019 : 1549-1554,1559 doi:10.19734/j.issn.1001-3695.2017.12.0835

25

Face gender recognition based on multi-layer feature fusion convolution neural network with adjustable supervisory function

基于多层特征融合可调监督函数卷积神经网络的人脸性别识别

Shi Xuechao

Zhou Yatong

Chi Yue

face gender recognition

multi-layer feature fusion

convolution neural network(CNN)

deep learning

No. 3, 2019 : 940-944 doi:10.19734/j.issn.1001-3695.2017.10.0976

26

Face detection algorithm based on scale-independent cascade convolution neural network

尺度无关的级联卷积神经网络人脸检测算法

Zheng Chenghao

Liu Bing

Zhou Yong

cascade convolution neural network

spatial pyramid pooling

face detection

No. 2, 2019 : 593-597,605 doi:10.19734/j.issn.1001-3695.2017.08.0957

27

Image steganalysis based on convolution neural network

基于卷积神经网络的图像隐写分析方法

Wei Lixian

Gao Peixian

Liu Jia

Liu Mingming

image steganalysis

CNN

batch normalization

activation function

No. 1, 2019 : 235-238 doi:10.19734/j.issn.1001-3695.2017.07.0692