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期刊论文 [17]
发表日期
2019 [17]
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Fault feature extraction of rotating machinery based on EWT and a weighted multi neighborhood rough set
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2019, 卷号: 38, 期号: 24, 页码: 235-242
作者:
Wu, Yaochun
;
Zhao, Rongzhen
;
Jin, Wuyin
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/11/14
Classification (of information)
Extraction
Iterative methods
Probability
Rotating machinery
Rough set theory
Time domain analysis
Wavelet transforms
Characteristics of vibrations
Empirical wavelet transform(EWT)
Fault feature extractions
Feature selection methods
Multiple neighborhoods
Neighborhood rough sets
Probability of occurrence
Time domain characteristics
Fire Control System Operation Status Assessment Based on Information Fusion: Case Study
期刊论文
SENSORS, 2019, 卷号: 19, 期号: 10, 页码: 20
作者:
Li, Yingshun
;
Wang, Aina
;
Yi, Xiaojian
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2020/01/10
fire control system
status assessment
DS evidence theory
rough set theory
information fusion
A moving target extraction algorithm based on the fusion of infrared and visible images
期刊论文
Infrared Physics and Technology, 2019, 卷号: 98, 页码: 285-291
作者:
Qiu, Shi
;
Luo, Junsong
;
Yang, Song
;
Zhang, Meiyang
;
Zhang, Wei
收藏
  |  
浏览/下载:102/0
  |  
提交时间:2019/04/28
Infrared images
Visible images
Moving target
A spatial heterogeneity-based rough set extension for spatial data
期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 33, 期号: 2, 页码: 240-268
作者:
Bai, Hexiang
;
Li, Deyu
;
Ge, Yong
;
Wang, Jinfeng
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  |  
浏览/下载:58/0
  |  
提交时间:2019/05/23
Rough set model
spatial information table
spatial heterogeneity
spatial autocorrelation
feature selection
Rough extreme learning machine: A new classification method based on uncertainty measure
期刊论文
NEUROCOMPUTING, 2019, 卷号: 325, 页码: 269-282
作者:
Feng, Lin
;
Xu, Shuliang
;
Wang, Feilong
;
Liu, Shenglan
;
Qiao, Hong
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  |  
浏览/下载:53/0
  |  
提交时间:2019/01/08
Extreme learning machine
Rough set
Attribute reduction
Classification
Neural network
Fire Control System Operation Status Assessment Based on Information Fusion: Case Study
期刊论文
SENSORS, 2019, 卷号: 19
作者:
Li, Yingshun
;
Wang, Aina
;
Yi, Xiaojian
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  |  
浏览/下载:17/0
  |  
提交时间:2019/12/02
fire control system
status assessment
DS evidence theory
rough set theory
information fusion
Feature selection for imbalanced data based on neighborhood rough sets
期刊论文
Information Sciences, 2019, 卷号: Vol.483, 页码: 1-20
作者:
Hongmei Chen
;
Tianrui Li
;
Xin Fan
;
Chuan Luo
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/02/25
Rough
set
theory
Feature
selection
Imbalanced
data
Discernibility
matrix
Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China
期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 卷号: 16, 期号: 3
作者:
Wang, Yumiao
;
Wu, Xueling
;
Chen, Zhangjian
;
Ren, Fu
;
Feng, Luwei
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/05
landslide susceptibility
Lishui City
machine learning
SMOTE
slope units
neighborhood rough set theory
A model of mining approximate frequent itemsets using rough set theory
期刊论文
International Journal of Computational Science and Engineering, 2019, 卷号: 19, 期号: 1, 页码: 71-82
作者:
Yu, Xiaomei
;
Zhao, Jun
;
Wang, Hong
;
Zheng, Xiangwei
;
Yan, Xiaoyan
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  |  
浏览/下载:18/0
  |  
提交时间:2019/12/11
Sensitivity Analysis of Loess Stability to Physical and Mechanical Properties: Assessment Model
期刊论文
INTERNATIONAL JOURNAL OF GEOMECHANICS, 2019, 卷号: 19, 期号: 7
作者:
Xue, Yiguo
;
Zhang, Xueliang
;
Li, Shucai
;
Qiu, Daohong
;
Su, Maoxin
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/11
Loess
Physical and mechanical properties
Stability
Sensitivity
Rough
set theory
Assessment model
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