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数学与系统科学研究院 [3]
北京大学 [2]
兰州理工大学 [2]
计算技术研究所 [2]
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北京航空航天大学 [1]
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期刊论文 [14]
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浏览/检索结果:
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Evaluation of Coalbed Methane Content by Using Kernel Extreme Learning Machine and Geophysical Logging Data
期刊论文
GEOFLUIDS, 2022, 卷号: 2022, 页码: 28
作者:
Guo, Jianhong
;
Zhang, Zhansong
;
Guo, Guangshan
;
Xiao, Hang
;
Zhu, Linqi
收藏
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浏览/下载:6/0
  |  
提交时间:2022/11/17
Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble
期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 20
作者:
Zhao, Erlong
;
Du, Pei
;
Azaglo, Ernest Young
;
Wang, Shouyang
;
Sun, Shaolong
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浏览/下载:257/0
  |  
提交时间:2022/04/29
Daily tourism volume forecasting
decomposition ensemble approach
sample entropy
kernel extreme learning machine
multi-kernel adaptive strategy
Mixture Correntropy-Based Kernel Extreme Learning Machines
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 811-825
作者:
Zheng, Yunfei
;
Chen, Badong
;
Wang, Shiyuan
;
Wang, Weiqun
;
Qin, Wei
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  |  
浏览/下载:42/0
  |  
提交时间:2022/03/17
Kernel
Optimization
Learning systems
Robustness
Support vector machines
Mean square error methods
Extreme learning machine (ELM)
kernel method
mixture correntropy
online learning
Prediction of landslide displacement using multi-kernel extreme learning machine and maximum information coefficient based on variational mode decomposition: a case study in Shaanxi, China
期刊论文
NATURAL HAZARDS, 2021, 卷号: 108, 期号: 1, 页码: 925-946
作者:
Ling, Qing
;
Zhang, Qin
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浏览/下载:5/0
  |  
提交时间:2021/06/03
Kernel extreme learning machine
Kernel functions
Variational mode decomposition
Maximum information coefficient
Displacement prediction
Short-Term Photovoltaic Power Interval Prediction Based on VMD and GOA-KELM Algorithms
会议论文
Chengdu, China, May 7-10, 2021
作者:
Sun, Wenxuan
;
Wang AN(王安娜)
;
Zhang T(张涛)
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浏览/下载:6/0
  |  
提交时间:2022/04/23
photovoltaic power prediction
variational mode decomposition
grasshopper optimization algorithm
kernel extreme learning machine
interval prediction
A novel classification method based on ICGOA-KELM for fault diagnosis of rolling bearing
期刊论文
Applied Intelligence, 2020, 卷号: 50, 期号: 无, 页码: 2833-2847
作者:
Peng Chen
;
Xiaoqiang Zhao
;
Qixian Zhu
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  |  
浏览/下载:14/0
  |  
提交时间:2020/11/06
Chaotic systems
Computer aided diagnosis
Damage detection
Failure analysis
Fault detection
Machine learning
Optimization
Extreme learning machine
Fault detection and classification
Global searching ability
Heuristic optimization algorithms
ICGOA- KELM
Intrinsic Mode functions
Optimization algorithms
Rolling bearings
A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 6, 页码: 2284-2292
作者:
Sun, Shaolong
;
Wang, Shouyang
;
Wei, Yunjie
;
Zhang, Guowei
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浏览/下载:19/0
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提交时间:2020/06/30
Forecasting
Exchange rates
Predictive models
Self-organizing feature maps
Clustering algorithms
exchange rates forecasting
kernel-based extreme learning machine (KELM)
nonlinear ensemble
Determination of influential parameters for prediction of total sediment loads in mountain rivers using kernel-based approaches
期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 2, 页码: 480-491
作者:
Roushangar, Kiyoumars
;
Shahnazi, Saman
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浏览/下载:13/0
  |  
提交时间:2020/11/11
Total sediment loads
Support vector machine
Gaussian process regression
Kernel extreme learning machine
Mountain Rivers
Deep Kernel Extreme-Learning Machine for the Spectral-Spatial Classification of Hyperspectral Imagery
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 12
作者:
Li, Jiaojiao
;
Xi, Bobo
;
Du, Qian
;
Song, Rui
;
Li, Yunsong
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/08/19
hyperspectral classification
deep layer
kernel-based ELM
spectral and spatial features
Deep Kernel Extreme-Learning Machine for the Spectral-Spatial Classification of Hyperspectral Imagery
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 12
作者:
Li, Jiaojiao
;
Xi, Bobo
;
Du, Qian
;
Song, Rui
;
Li, Yunsong
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/03/13
hyperspectral classification
deep layer
kernel-based ELM
spectral and spatial features
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