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大连理工大学 [2]
武汉岩土力学研究所 [2]
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期刊论文 [10]
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2019 [10]
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Modelling fish communities in relation to water quality in the impounded lakes of China's South-to-North Water Diversion Project
期刊论文
ECOLOGICAL MODELLING, 2019, 卷号: 397, 期号: 1, 页码: 25-35
作者:
Guo, Chuanbo
;
Chen, Yushun
;
Liu, Han
;
Lu, Yin
;
Qu, Xiao
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浏览/下载:72/0
  |  
提交时间:2019/08/01
Ensemble modelling
Fish communities
Ecological impacts
Machine learning
South-to-North Water Diversion Project
Water quality changes
Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 570, 页码: 167-184
作者:
Wen, Xiaohu
;
Feng, Qi
;
Deo, Ravinesh C.
;
Wu, Min
;
Yin, Zhenliang
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  |  
浏览/下载:83/0
  |  
提交时间:2019/10/08
Expert system
Runoff
Integrated model
Complete ensemble empirical mode decomposition adaptive noise (CEEMDAN)
Variational mode decomposition (VMD)
Extreme learning machine (ELM)
Classification of EEG Signals Using Hybrid Feature Extraction and Ensemble Extreme Learning Machine
期刊论文
NEURAL PROCESSING LETTERS, 2019, 卷号: 50, 页码: 1281-1301
作者:
Ren, Weijie
;
Han, Min
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浏览/下载:0/0
  |  
提交时间:2019/12/02
EEG signals
Classification
Feature extraction
Ensemble extreme learning machine
Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm
期刊论文
APPLIED SOFT COMPUTING, 2019, 卷号: 82
作者:
Niu, Wen-jing
;
Feng, Zhong-kai
;
Zeng, Ming
;
Feng, Bao-fei
;
Min, Yao-wu
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  |  
浏览/下载:20/0
  |  
提交时间:2019/12/02
Monthly streamflow prediction
Ensemble empirical mode decomposition (EEMD)
Extreme learning machine (ELM)
Improved gravitational search algorithm (IGSA)
Mutation and selection operators
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 97216-97241
作者:
Jiang T(蒋涛)
;
Li C(李晨)
;
Kong FJ(孔樊杰)
;
Wang K(王锴)
;
Xu AD(徐皑冬)
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  |  
浏览/下载:42/0
  |  
提交时间:2019/08/29
Low-voltage electromagnetic coil
insulation degradation monitoring
ensemble learning
machine vision
membrane computing
microscopic image analysis
feature extraction
Full-Waveform LiDAR Point Clouds Classification Based on Wavelet Support Vector Machine and Ensemble Learning
期刊论文
SENSORS, 2019, 卷号: 19, 期号: 14
作者:
Lai, Xudong
;
Yuan, Yifei
;
Li, Yongxu
;
Wang, Mingwei
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
full-waveform LiDAR
point cloud classification
support vector machine
wavelet kernel function
ensemble learning
Identifying channel sand-body from multiple seismic attributes with an improved random forest algorithm
期刊论文
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2019, 卷号: 173, 页码: 781-792
-
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浏览/下载:11/0
  |  
提交时间:2020/01/03
Machine learning
Random forest
Ensemble learning
Seismic interpretation
Channel identification
A novel approach to intrusion detection using SVM ensemble with feature augmentation
期刊论文
COMPUTERS & SECURITY, 2019, 卷号: 86, 页码: 53-62
作者:
Gu, Jie
;
Wang, Lihong
;
Wang, Huiwen
;
Wang, Shanshan
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Ensemble learning
Intrusion detection
Marginal density ratios transformation
Network security
Support vector machine
Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling
期刊论文
ENTROPY, 2019, 卷号: 21, 期号: 2, 页码: -
作者:
He, Qingfeng
;
Xu, Zhihao
;
Li, Shaojun
;
Li, Renwei
;
Zhang, Shuai
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  |  
浏览/下载:18/0
  |  
提交时间:2020/04/08
rotation forest
credal decision tree
ensemble model
machine learning
landslide
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 575, 期号: -, 页码: 864-873
作者:
Chen, Wei
;
Hong, Haoyuan
;
Li, Shaojun
;
Shahabi, Himan
;
Wang, Yi
收藏
  |  
浏览/下载:77/0
  |  
提交时间:2020/04/08
Flood susceptibility
Machine learning
Ensemble framework
GIS
China
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