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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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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
收藏
  |  
浏览/下载:69/0
  |  
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:169/0
  |  
提交时间:2022/04/29
Daily tourism volume forecasting
decomposition ensemble approach
sample entropy
kernel extreme learning machine
multi-kernel adaptive strategy
Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach
期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 18
作者:
Xing, Guangyuan
;
Sun, Shaolong
;
Bi, Dan
;
Guo, Ju-e
;
Wang, Shouyang
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  |  
浏览/下载:122/0
  |  
提交时间:2022/04/02
ensemble learning
least square support vector regression
seasonality
tourism demand forecasting
variational mode decomposition
Disease category-specific annotation of variants using an ensemble learning framework
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 卷号: 23, 期号: 1, 页码: 15
作者:
Cao, Zhen
;
Huang, Yanting
;
Duan, Ran
;
Jin, Peng
;
Qin, Zhaohui S.
;
Zhang, Shihua
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  |  
浏览/下载:124/0
  |  
提交时间:2022/06/21
complex disease
disease category
functional annotation
non-coding variant
ensemble learning
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting
期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
作者:
Yang, Dongchuan
;
Guo, Ju-E
;
Sun, Shaolong
;
Han, Jing
;
Wang, Shouyang
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浏览/下载:118/0
  |  
提交时间:2022/04/02
Short-term load forecasting
Bivariate empirical mode decomposition
Decomposition-ensemble approach
Reconstruction
Bayesian optimization
Long short-term memory network
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:138/0
  |  
提交时间:2022/04/02
Wind speed forecasting
Ensemble patch transform
Complete ensemble empirical mode
decomposition
Temporal convolutional network
Hybrid method
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:124/0
  |  
提交时间:2022/04/02
Crude oil price forecasting
Decomposition-ensemble method
Support vector machine
Multiscale strategy
Complexity analysis
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:117/0
  |  
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
Post-measurement quantumness
期刊论文
Physica Scripta, 2021, 卷号: 96, 期号: 12
作者:
Sun,Yuan
;
Luo,Shunlong
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  |  
浏览/下载:106/0
  |  
提交时间:2022/04/02
measurement
ensemble
Gram matrix
coherence
quantumness
Decomposition Methods for Tourism Demand Forecasting: A Comparative Study
期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18
作者:
Zhang, Chengyuan
;
Li, Mingchen
;
Sun, Shaolong
;
Tang, Ling
;
Wang, Shouyang
收藏
  |  
浏览/下载:114/0
  |  
提交时间:2022/04/02
tourism demand forecasting
decomposition methods
variational mode decomposition
decomposition and ensemble
machine learning