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会议论文 [54]
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Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target
会议论文
作者:
Dong, Yunxuan
;
Wang, Jing
;
Xiao, Ling
;
Fu, Tonglin
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/12/18
Convergence of numerical methods
Convolutional neural networks
Cost functions
Forecasting
Heuristic algorithms
Optimization
Time series
Wind powerComputation complexity
Convergence problems
Convexity-preserving
Heuristic optimization algorithms
Multiple-objective optimization
Optimal parameter
Wind speed forecasting
Wind speed time series
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
;
Zhang, Yaonan
;
Zhao, Guohui
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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
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
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  |  
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
Day-Ahead Electricity Market Clearing Price Forecasting: A Case in Yunnan
会议论文
WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2018: WATERSHED MANAGEMENT, IRRIGATION AND DRAINAGE, AND WATER RESOURCES PLANNING AND MANAGEMENT, 2018-01-01
作者:
Yu, Xuguang
;
Li, YaPeng
;
Yang, Qiang
;
Li, Gang
;
Cao, Rui
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Electricity markets
Forecasting
Market clearing price
Time series analysis
Application of long short-term memory neural network for multi-step travel time forecasting on urban expressways
会议论文
CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals
作者:
Zhang, Z.
;
Wang, Y.
;
Chen, P.
;
Yu, G.
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Brain
Long short-term memory
Network architecture
Traffic control
Travel time
Non-parametric algorithm
Probe vehicle data
State of the art
Temporal evolution
Time series method
Traffic features
Travel time forecasting
Urban expressway
Deep learning
Stock Market Index Prediction Using Deep Neural Network Ensemble
会议论文
第36届中国控制会议
作者:
Bing Yang
;
Zi-Jia Gong
;
Wenqi Yang
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
neural network
machine learning
ensemble learning
stock index
time series forecasting
Stock market index prediction using deep neural network ensemble
会议论文
36th Chinese Control Conference, CCC 2017, 26 July 2017 through 28 July 2017
作者:
Yang, Bing
;
Gong, Zi-Jia
;
Yang, Wenqi
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/31
ensemble learning
machine learning
neural network
stock index
time series forecasting
Stock Market Index Prediction Using Deep Neural Network Ensemble
会议论文
36th Chinese Control Conference (CCC), JUL 26-28, 2017
作者:
Yang, Bing
;
Gong, Zi-Jia
;
Yang, Wenqi
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
neural network
machine learning
ensemble learning
stock index
time
series forecasting
Meta-learning with Empirical Mode Decomposition for Noise Elimination in Time Series Forecasting
会议论文
作者:
Afolabi, David O.
;
Guan, Sheng-Uei
;
Man, Ka Lok
;
Wong, Prudence W. H.
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Time series forecasting
Interference-less machine learning
Empirical mode decomposition
Nonlinear autoregressive model
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