×
验证码:
换一张
忘记密码?
记住我
×
统一认证登录
登录
中文版
|
English
上海科技大学知识管理系统
ShanghaiTech University Knowledge Management System
统一认证登录
登录
注册
ALL
ORCID
题名
作者
发表日期
关键词
文献类型
DOI
出处
存缴日期
收录类别
出版者
学习讨论厅
图片搜索
粘贴图片网址
首页
研究单元&专题
作者
文献类型
学科分类
知识图谱
知识整合
学习讨论厅
在结果中检索
研究单元&专题
信息科学与技术学院 [5]
数学科学研究所 [1]
作者
刘宇 [2]
卢典 [2]
王浩 [1]
朱汪俊 [1]
曾浩 [1]
邢逸琦 [1]
更多...
文献类型
会议论文 [3]
期刊论文 [2]
发表日期
2021 [2]
2020 [2]
2019 [1]
出处
2020 IEEE ... [1]
APAP 2019 ... [1]
OPTIMIZATI... [1]
PROCEEDING... [1]
SIAM JOURN... [1]
语种
英语 [5]
资助项目
National N... [1]
资助机构
收录类别
EI [5]
SCIE [2]
CPCI [1]
CPCI-S [1]
SCI [1]
×
知识图谱
KMS
反馈留言
浏览/检索结果:
共5条,第1-5条
帮助
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
作者升序
作者降序
题名升序
题名降序
提交时间升序
提交时间降序
WOS被引频次升序
WOS被引频次降序
期刊影响因子升序
期刊影响因子降序
发表日期升序
发表日期降序
Relating l(p) regularization and reweighted l(1) regularization
期刊论文
OPTIMIZATION LETTERS, 2021, 卷号: 15, 期号: 8, 页码: #VALUE!
作者:
Wang, Hao
;
Zeng, Hao
;
Wang, Jiashan
;
Wu, Qiong
Adobe PDF(951Kb)
|
收藏
|
浏览/下载:274/0
|
提交时间:2021/04/01
l(p)-norm regularization
Iteratively reweighted algorithm
Nonconvex regularization
Non-Lipschitz differentiable
Maximum A Posterior
Control engineering
Optimization
Global conver
gence
Maximum a posteriors
Numerical experiments
Regression problem
Smoothing parameter
Stationary points
Updating strategy
Worst
case complexity
CONSTRUCT DEEP NEURAL NETWORKS BASED ON DIRECT SAMPLING METHODS FOR SOLVING ELECTRICAL IMPEDANCE TOMOGRAPHY
期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2021, 卷号: 43, 期号: 3, 页码: B678-B711
作者:
Guo, Ruchi
;
Jiang, Jiahua
Adobe PDF(12371Kb)
|
收藏
|
浏览/下载:1008/217
|
提交时间:2021/08/20
deep learning
inverse problems
direct sampling methods
electrical impedance tomography
reconstruction algorithm
limited boundary data
Convolutional neural networks
Electric impedance
Electric impedance measurement
Electric impedance tomography
Inverse problems
Boundary measurements
Computational costs
Direct sampling method
Electrical impedance tomography
Fully connected neural network
High quality reconstruction
Inhomogeneous inclusions
Numerical experiments
A systematic framework presenting impact of dataset completeness on data driven approaches: A transmission line fault classification study
会议论文
2020 IEEE 4TH CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION: CONNECTING THE GRIDS TOWARDS A LOW-CARBON HIGH-EFFICIENCY ENERGY SYSTEM, EI2 2020, Wuhan, China, October 30, 2020 - November 1, 2020
作者:
Yiqi Xing
;
Yu Liu
;
Xiaodong Zheng
Adobe PDF(383Kb)
|
收藏
|
浏览/下载:415/0
|
提交时间:2022/12/09
Statistical tests
Electric power transmission
Electric lines
Neural networks
Classification (of information)
500 kV transmission lines
Data-driven approach
Fault classification
Fault classification accuracy
Numerical experiments
Power supply reliability
Systematic framework
Transmission line faults
An Improved Phasor Domain Parameter-Free Fault Location Algorithm on Untransposed Lines
会议论文
PROCEEDINGS OF THE IEEE POWER ENGINEERING SOCIETY TRANSMISSION AND DISTRIBUTION CONFERENCE, Chicago, IL, United states, October 12, 2020 - October 15, 2020
作者:
Dian Lu
;
Yu Liu
;
Boqi Xie
;
Rui Fan
;
Liangyi Sun
Adobe PDF(747Kb)
|
收藏
|
浏览/下载:338/0
|
提交时间:2022/12/09
Location
Phasor measurement units
Numerical methods
Capacitance
Electric fault location
Parameter estimation
Fault impedances
Fault location algorithms
Location method
Numerical experiments
Phasor domains
Shunt capacitance
Transmission line models
Transmission line parameters
Fault Location
Untransposed Line
Parameter-Free
Synchrophasors
A Novel Phasor Domain Parameter-Free Fault Location Algorithm on Untransposed Transmission Lines
会议论文
APAP 2019 - 8TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED POWER SYSTEM AUTOMATION AND PROTECTION, Xi'an, China, October 21, 2019 - October 24, 2019
作者:
Wangjun Zhu
;
Yu Liu
;
Dian Lu
;
Xiaodong Zheng
Adobe PDF(4035Kb)
|
收藏
|
浏览/下载:312/0
|
提交时间:2022/12/09
Numerical methods
Parameter estimation
Electric fault location
Electric power transmission networks
Location
Fault location algorithms
Location method
Numerical experiments
Parameter-free methods
Phasor domains
State of the art
Tower structures
Transmission line parameters
首页
上一页
1
下一页
末页