×
验证码:
换一张
忘记密码?
记住我
×
登录
中文版
|
English
中国科学院重庆绿色智能技术研究院机构知识库
KMS Chongqing Institute of Green and Intelligent Technology, CAS
登录
注册
ALL
ORCID
题名
作者
发表日期
学科领域
关键词
文献类型
出处
存缴日期
收录类别
出版者
资助项目
学科门类
学习讨论厅
首页
研究单元&专题
作者
文献类型
学科分类
知识图谱
新闻&公告
在结果中检索
研究单元&专题
大数据挖掘及应用中心 [2]
作者
尚明生 [10]
罗辛 [4]
吴迪 [2]
袁野 [1]
史晓雨 [1]
文献类型
期刊论文 [10]
发表日期
2024 [2]
2022 [3]
2021 [3]
2018 [2]
语种
英语 [10]
出处
IEEE TRANS... [4]
IEEE TRANS... [2]
IEEE TRANS... [2]
INFORMATIO... [1]
NEUROCOMPU... [1]
资助项目
National N... [4]
National N... [4]
Pioneer Hu... [4]
National K... [3]
National N... [3]
National N... [3]
更多...
收录类别
SCI [9]
资助机构
×
知识图谱
CSpace
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
(本次检索基于用户作品认领结果)
浏览/检索结果:
共10条,第1-10条
帮助
限定条件
作者:尚明生
第一作者
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
期刊影响因子升序
期刊影响因子降序
作者升序
作者降序
题名升序
题名降序
WOS被引频次升序
WOS被引频次降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Neural dynamics solver for time-dependent infinity-norm optimization based on ACP framework with robot application
期刊论文
NEUROCOMPUTING, 2024, 卷号: 567, 页码: 9
作者:
Ma, Dexiu
;
Liu, Mei
;
Shang, Mingsheng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/02/23
Neural dynamics (ND)
ACP framework
Time-dependent infinity-norm optimization (TDINO)
Activation functions
Metaheuristic-Based RNN for Manipulability Optimization of Redundant Manipulators
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 页码: 10
作者:
Tan, Jiawang
;
Shang, Mingsheng
;
Jin, Long
收藏
  |  
浏览/下载:160/0
  |  
提交时间:2024/05/06
Manipulators
Optimization
Collision avoidance
Jacobian matrices
Kinematics
Task analysis
Linear programming
Manipulability optimization
metaheuristic optimization
nonconvex
obstacle avoidance
recurrent neural network
Computational Neural Dynamics Model for Time-Variant Constrained Nonlinear Optimization Applied to Winner-Take-All Operation
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 9, 页码: 5936-5948
作者:
Liu, Mei
;
Zhang, Xiaoyan
;
Shang, Mingsheng
收藏
  |  
浏览/下载:68/0
  |  
提交时间:2022/08/22
Optimization
Mathematical models
Computational modeling
Neural networks
Numerical models
Informatics
Vehicle dynamics
Equality and inequality constraints
noise-suppressing discrete-time neural dynamics (NSDTND) model
time-variant nonlinear optimization
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 2, 页码: 420-431
作者:
Shi, Xiaoyu
;
He, Qiang
;
Luo, Xin
;
Bai, Yanan
;
Shang, Mingsheng
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2022/08/22
Recommender systems
Training
Optimization
Big Data
Cloud computing
Computational modeling
Sparse matrices
Recommender system
latent factor analysis
high-dimensional and sparse matrices
alternative stochastic gradient descent
distributed computing
Adjusted stochastic gradient descent for latent factor analysis
期刊论文
INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 196-213
作者:
Li, Qing
;
Xiong, Diwen
;
Shang, Mingsheng
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2022/08/22
Big data analysis
High-dimensional and incomplete matrix
Stochastic gradient descent
Latent factor analysis
Gradient adjustment
Adaptive model
Particle swarm optimization
Local optima
Dynamic Neural Network for Bicriteria Weighted Control of Robot Manipulators
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Liu, Mei
;
He, Li
;
Shang, Mingsheng
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2022/08/22
Manipulators
Robots
Indexes
Mathematical models
Manipulator dynamics
Optimization
Kinematics
Bicriteria weighted (BCW) scheme
dynamic neural network (DNN)
quadratic programming (QP) problem
robustness
Activated Gradients for Deep Neural Networks
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Liu, Mei
;
Chen, Liangming
;
Du, Xiaohao
;
Jin, Long
;
Shang, Mingsheng
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2022/08/22
Training
Deep learning
Neural networks
Optimization
Visualization
Newton method
Eigenvalues and eigenfunctions
Exploding gradient problems
gradient activation function (GAF)
ill-conditioned problems
saddle point problems
vanishing gradient problems
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2021, 卷号: 7, 期号: 1, 页码: 227-240
作者:
Luo, Xin
;
Zhou, Mengchu
;
Li, Shuai
;
Wu, Di
;
Liu, Zhigang
;
Shang, Mingsheng
收藏
  |  
浏览/下载:147/0
  |  
提交时间:2021/05/17
Data models
Training
Sparse matrices
Recommender systems
Computational modeling
Big Data
Scalability
Non-negative latent factor analysis
non-negativity
latent factor analysis
unconstrained optimization
high-dimensional and sparse matrix
collaborative filtering
recommender system
big data
An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022
作者:
Luo, Xin
;
Zhou, MengChu
;
Li, Shuai
;
Shang, MingSheng
收藏
  |  
浏览/下载:508/0
  |  
提交时间:2018/07/02
Big data
high-dimensional and sparse matrix
learning algorithms
missing-data estimation
nonnegative latent factor analysis
optimization methods recommender system
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 3, 页码: 909-920
作者:
Wu, Di
;
Luo, Xin
;
Wang, Guoyin
;
Shang, Mingsheng
;
Yuan, Ye
;
Yan, Huyong
收藏
  |  
浏览/下载:213/0
  |  
提交时间:2018/06/04
Differential evolution (DE)
general framework
industrial application
positioning optimization
self-labeled
semi-supervised classification (SSC)