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数学与系统科学研究... [15]
兰州大学 [5]
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Ensemble variational method with adaptive covariance inflation for learning neural network-based turbulence models
期刊论文
PHYSICS OF FLUIDS, 2024, 卷号: 36, 期号: 3, 页码: 21
作者:
Luo, Qingyong
;
Zhang, Xin-Lei
;
He, Guowei
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/05/14
A Review of Application of Machine Learning in Storm Surge Problems
期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 9, 页码: 35
作者:
Qin, Yue
;
Su, Changyu
;
Chu, Dongdong
;
Zhang, Jicai
;
Song, Jinbao
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  |  
浏览/下载:3/0
  |  
提交时间:2023/11/15
storm surge prediction
machine learning
hybrid methods
physics-informed neural networks
Increasing Shortwave Penetration Through the Bottom of the Oceanic Mixed Layer in a Warmer Climate
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2023, 卷号: 128, 期号: 7, 页码: 21
作者:
Tian, Feng
;
Zhang, Rong-Hua
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  |  
浏览/下载:3/0
  |  
提交时间:2023/12/13
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 177-187
作者:
Qing Xu
;
Min Wu
;
Edwin Khoo
;
Zhenghua Chen
;
Xiaoli Li
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  |  
浏览/下载:26/0
  |  
提交时间:2023/01/03
Deep learning
early prediction
lithium-ion battery
remaining useful life (RUL)
A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach
期刊论文
JOURNAL OF FORECASTING, 2022, 页码: 22
作者:
Li, Zhongfei
;
Gan, Kai
;
Sun, Shaolong
;
Wang, Shouyang
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  |  
浏览/下载:7/0
  |  
提交时间:2023/02/07
AdaBoost-ensemble
deep learning
hybrid data preprocessing-analysis strategy
LSTM
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:283/0
  |  
提交时间:2022/04/29
Daily tourism volume forecasting
decomposition ensemble approach
sample entropy
kernel extreme learning machine
multi-kernel adaptive strategy
Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks
期刊论文
ENERGY, 2022, 卷号: 238, 页码: 22
作者:
Li, Dan
;
Jiang, Fuxin
;
Chen, Min
;
Qian, Tao
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  |  
浏览/下载:18/0
  |  
提交时间:2022/04/02
Wind speed forecasting
Ensemble patch transform
Complete ensemble empirical mode
decomposition
Temporal convolutional network
Hybrid method
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method
期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:
Jiang, Fuxin
;
Zhang, Chengyuan
;
Sun, Shaolong
;
Sun, Jingyun
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  |  
浏览/下载:16/0
  |  
提交时间:2022/04/29
PM2.5 concentration forecasting
Complete ensemble empirical mode
decomposition with adaptive noise
Temporal convolutional
Data patterns
Deep learning
A novel multiscale forecasting model for crude oil price time series
期刊论文
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 卷号: 173, 页码: 15
作者:
Li, Ranran
;
Hu, Yucai
;
Heng, Jiani
;
Chen, Xueli
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  |  
浏览/下载:9/0
  |  
提交时间:2022/04/02
Crude oil price forecasting
Decomposition-ensemble method
Support vector machine
Multiscale strategy
Complexity analysis
An innovative ensemble learning air pollution early-warning system for China based on incremental extreme learning machine
期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 9, 页码: 15
作者:
Du, Zongjuan
;
Heng, Jiani
;
Niu, Mingfei
;
Sun, Shaolong
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/04/02
Air quality early-warning system
Length-changeable incremental extreme
learning machine
Hybrid ensemble model
Fuzzy evaluation
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