×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
兰州理工大学 [15]
重庆大学 [14]
北京航空航天大学 [13]
北京大学 [12]
西北高原生物研究所 [10]
清华大学 [9]
更多...
内容类型
期刊论文 [122]
会议论文 [63]
其他 [6]
学位论文 [6]
EI期刊论文 [1]
会议 [1]
更多...
发表日期
2024 [1]
2022 [2]
2021 [5]
2020 [3]
2019 [6]
2018 [8]
更多...
学科主题
Energy & F... [1]
Thermodyna... [1]
engineerin... [1]
pharmacolo... [1]
toxicology [1]
×
知识图谱
CORC
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
浏览/检索结果:
共199条,第1-10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
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Pantograph-Catenary Interaction Prediction Model Based on SCSA-RBF Network
期刊论文
APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 1, 页码: 11
作者:
Wu, Mengzhen
;
Xu XH(许向红)
;
Zhang HC(张颢辰)
;
Zhou R(周睿)
;
Wang, Jianshan
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/02/19
pantograph-catenary interaction prediction model
pantograph-catenary contact force
SCSA-RBF network
Milling residual stress of macro-forecast based on RBF and micro-analysis based on molecular dynamics
期刊论文
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 卷号: 28, 期号: 5, 页码: 1385-1392
作者:
Jin, Lan
;
Zhang, Xuefeng
;
Xie, Liming
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/06/20
Forecasting
Functions
Milling (machining)
Molecular dynamics
Residual stresses
Surface stress
Turning
Cutting parameters
Function analysis
Micro analysis
Neural network predictions
Performance
Prediction accuracy
Radial basis function neural networks (RBF)
Simulation
Surface residual stress
Workpiece
Prediction of vacancy formation energies at tungsten grain boundaries from local structure via machine learning method
期刊论文
JOURNAL OF NUCLEAR MATERIALS, 2022, 卷号: 559
作者:
Wang, Yuxuan
;
Li, Xiaolin
;
Li, Xiangyan
;
Zhang, Yuxiang
;
Zhang, Yange
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/12/23
Vacancy formation energy
Machine learning
Tungsten
Symmetry tilt grain boundary
Support vector machine
Cross validation
End-Effector Pose Estimation in Complex Environments Using Complementary Enhancement and Adaptive Fusion of Multisensor
期刊论文
JOURNAL OF SENSORS, 2021, 卷号: 2021, 页码: 18
作者:
Luo, Mingrui
;
Li, En
;
Guo, Rui
;
Liu, Jiaxin
;
Liang, Zize
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/06/15
Research on a Quantitative Regression Model of the Infrared Spectrum Based on the Integrated Learning Algorithm
期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 卷号: 41
作者:
Jiang Wei-wei
;
Lu Chang-hua
;
Zhang Yu-jun
;
Ju Wei
;
Wang Ji-zhou
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/06/21
Integrated learning
Support vector machine
GBDT
Quantitative regression
A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting
期刊论文
COMPLEXITY, 2021, 卷号: 2021, 页码: 7
作者:
Zhang, Yanhui
;
Lin, Shili
;
Ma, Haiping
;
Guo, Yuanjun
;
Feng, Wei
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/10/27
Comparing deep learning with several typical methods in prediction of assessing chlorophyll-a by remote sensing: a case study in Taihu Lake, China
期刊论文
WATER SUPPLY, 2021, 卷号: 21, 期号: 7, 页码: 3710-3724
作者:
Zhao, Xiaolan
;
Xu, Haoli
;
Ding, Zhibin
;
Wang, Daqing
;
Deng, Zhengdong
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/03/10
Adaptive POD surrogate model method for centrifugal pump impeller flow field reconstruction based on clustering algorithm
期刊论文
MODERN PHYSICS LETTERS B, 2021, 卷号: 35, 期号: 7
作者:
Chen, Xuebing S.
;
Zhang, Renhui
;
Jiang, Lijie
;
Yang, Weifeng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/04/12
Centrifugal pump
impeller
surrogate model
proper orthogonal decomposition
adaptive
K-means clustering algorithm
Effectiveness of predicting spatial contaminant distributions at industrial sites using partitioned interpolation method
期刊论文
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2020, 页码: 14
作者:
Qiao, Pengwei
;
Yang, Sucai
;
Wei, Wenxia
;
Li, Peizhong
;
Cheng, Yanjun
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/03/18
Data partitioning
Accuracy
Improvement degree
Effectiveness
Industrial sites
Soil pollution
Application of Machine Learning to Predict Grain Boundary Embrittlement in Metals by Combining Bonding-Breaking and Atomic Size Effects
期刊论文
MATERIALS, 2020, 卷号: 13
作者:
Wu, Xuebang
;
Wang, Yu-xuan
;
He, Kan-ni
;
Li, Xiangyan
;
Liu, Wei
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2020/11/26
grain boundary embrittlement
machine learning
strengthening energy
support vector machine
artificial neural network
©版权所有 ©2017 CSpace - Powered by
CSpace