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湖南大学 [7]
大连理工大学 [6]
武汉大学 [4]
山东大学 [3]
福州大学 [2]
兰州理工大学 [1]
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期刊论文 [27]
会议论文 [3]
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2019 [30]
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A comparative time series analysis and modeling of aerosols in the contiguous United States and China
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 690, 页码: 799-811
作者:
Li, Xueke
;
Zhang, Chuanrong
;
Zhang, Bo
;
Liu, Kai
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/03/23
Aerosol variation
Trend
Time series modeling
Prediction
Inter-country comparisons
A hybrid VMD-BiGRU model for rubber futures time series forecasting
期刊论文
APPLIED SOFT COMPUTING, 2019, 卷号: 84, 页码: 13
作者:
Zhu, Qing
;
Zhang, Fan
;
Liu, Shan
;
Wu, Yiqiong
;
Wang, Lin
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  |  
浏览/下载:69/0
  |  
提交时间:2020/01/10
BiGRU
Rubber futures
Time series
VMD
Volatility prediction
EA-LSTM: Evolutionary attention-based LSTM for time series prediction
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2019, 卷号: 181, 页码: 8
作者:
Li, Youru
;
Zhu, Zhenfeng
;
Kong, Deqiang
;
Han, Hua
;
Zhao, Yao
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  |  
浏览/下载:142/0
  |  
提交时间:2019/12/16
Evolutionary computation
Deep neural network
Time series prediction
Deep Learning with Long Short-Term Memory Networks for Air Temperature Predictions
会议论文
Dublin, Ireland, October 17, 2019 - October 19, 2019
作者:
Li, Cong
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  |  
浏览/下载:1/0
  |  
提交时间:2020/11/15
Agricultural robots
Agriculture
Atmospheric temperature
Brain
Decision trees
Deep learning
Deep neural networks
Forecasting
Manufacture
Random forests
Agricultural productions
Air temperature
Meteorological variables
Prediction accuracy
Process temperature
Short term memory
Temperature prediction
Time-series data
A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction
期刊论文
SYMMETRY-BASEL, 2019, 卷号: 11
作者:
Xu, Xinghan
;
Ren, Weijie
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  |  
浏览/下载:16/0
  |  
提交时间:2019/12/02
chaotic time series prediction
neural network
firefly algorithm
CEEMDAN
VMD
Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 页码: 2305-2315
作者:
Xu, Meiling
;
Han, Min
;
Qiu, Tie
;
Lin, Hongfei
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  |  
浏览/下载:23/0
  |  
提交时间:2019/12/02
Chaotic time series
L-1/2-norm penalty
L-2-norm penalty
prediction
regularization
Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 页码: 2720-2731
作者:
Han, Min
;
Zhong, Kai
;
Qiu, Tie
;
Han, Bing
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  |  
浏览/下载:13/0
  |  
提交时间:2019/12/02
Big data
chaotic time series prediction
computational intelligence (CI)
interval type-2 fuzzy neural network (IT2FNN)
Time Series Online Prediction Based on Adaptive Dynamic Adjustment Kernel Recursive Least Squares Algorithm
会议论文
9th International Conference on Intelligent Control and Information Processing, ICICIP 2018, Wanzhou, China, 2018-11-09
作者:
Han, Min
;
Ma, Junzhu
;
Kanae, Shunshoku
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  |  
浏览/下载:22/0
  |  
提交时间:2019/12/02
Budget control
Computational complexity
Efficiency
Forecasting
Intelligent control
Matrix algebra
Time series, Adaptive dynamics
Dynamic update
Fixed budget
Kernel matrices
Kernel recursive least squares
Multi dimensional
Multi-step
Online prediction, Least squares approximations
A novel Lasso-ARMA model for time series prediction
会议论文
2018 Chinese Automation Congress, CAC 2018, Xi'an, China, 2018-11-30
作者:
Xu, Meiling
;
Zhang, Jiadong
;
Li, Zhihui
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/02
Autocorrelation
Forecasting
Learning systems
Random processes
Regression analysis
Stochastic systems, ARMA
Autocorrelation functions
Estimation methods
Lasso regressions
Machine learning methods
Model specifications
Real-world datasets
Time series prediction, Time series
Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 页码: 1160-1172
作者:
Han, Min
;
Zhang, Shuhui
;
Xu, Meiling
;
Qiu, Tie
;
Wang, Ning
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Adaptive
kernel recursive least squares (KRLS)
online time series prediction
sparse
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