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科研机构
大连理工大学 [11]
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会议论文 [5]
专利 [3]
期刊论文 [3]
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2019 [2]
2018 [3]
2017 [2]
2016 [2]
2015 [1]
2009 [1]
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浏览/检索结果:
共11条,第1-10条
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专题:大连理工大学
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Low voltage AC series arc fault detection method based on parallel deep convolutional neural network
会议论文
2nd International Symposium on Application of Materials Science and Energy Materials, SAMSE 2018, Shanghai, China, 2018-12-17
作者:
Yu, Qiongfang
;
Huang, Gaolu
;
Yang, Yi
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/02
Convolution
Electric power systems
Fault detection
Neural networks
Statistical tests, Connection mode
Convolutional neural network
Detection accuracy
Low voltages
Normal operations
Percentage points
Series arc-fault
Training data sets, Deep neural networks
An optimized support vector machine intelligent technique using optimized feature selection methods: evidence from Chinese credit approval data
期刊论文
JOURNAL OF RISK MODEL VALIDATION, 2019, 卷号: 13, 页码: 1-46
作者:
Abedin, Mohammad Zoynul
;
Guotai, Chi
;
Fahmida-E-Moula
;
Zhang, Tong
;
Hassan, M. Kabir
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/02
data mining
filter approach
embedded methods
training/testing instances
intelligent algorithms
credit risk evaluation
Model Checking the Uncertainties in Software Systems Introduced by Intelligent Components
会议论文
29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018, Memphis, TN, United states, 2018-10-15
作者:
Ding, Zuohua
;
Jiang, Wenjie
;
Jiang, Mingyue
;
Jin, Zhi
;
Jiang, He
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/02
Intelligent systems
Model checking
Technical presentations, Adaptive modeling
Environment change
Intelligent components
Intelligent software systems
Running time
Software component
Software systems
Training data, Software reliability
Outdoor scene three-dimensional color point cloud classifying method, involves performing learning and training in point cloud data, and calculating point cloud characteristic vector by using point cloud data training set.
专利
申请日期: 2018-01-01, 公开日期: 2018-05-04
作者:
AN Y WANG L SONG T WANG W
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/02
Combined data learning and physical priori image defogging method, involves determining optical attenuation coefficient, obtaining network training data, and generating fogging result according to atmospheric light parameter.
专利
申请日期: 2018-01-01, 公开日期: 2018-04-27
作者:
LIU R FAN X HOU M CHENG S
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Multi-train: A semi-supervised heterogeneous ensemble classifier
期刊论文
NEUROCOMPUTING, 2017, 卷号: 249, 页码: 202-211
作者:
Gu, Shenkai
;
Jin, Yaochu
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Unlabeled data
Classification
Heterogeneous ensembles
Semi-supervised learning
Tri-training
Multi-train
A Fast Training Example Searching Algorithm for Data-Driven Dehazing
会议论文
6th International Conference on Digital Home, ICDH 2016
作者:
Tang X.
;
Fan X.
;
Duan Y.
;
Luo Z.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/03
A Social Spam Detection Framework via Semi-supervised Learning
会议论文
20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Auckland, NEW ZEALAND, 2016-04-19
作者:
Zhang, Xianchao
;
Bai, Haijun
;
Liang, Wenxin
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/09
Semi-supervised learning
Social spam
Co-training
k-medoids
A Fast Training Example Searching Algorithm for Data-Driven Dehazing
会议论文
International Conference on Digital Home (ICDH)
作者:
Fan X(樊鑫)
;
Luo ZX(罗钟铉)
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/09
Statistical scientific literature and technology based time sequence forecasting method, involves combining training set and verification data set to obtain link set in optimal forecast model, and using sequence similarity for literatures.
专利
申请日期: 2015-01-01, 公开日期: 2015-03-25
作者:
LI M TAN G YAO N ZHAN F
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/09
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