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科研机构
深圳先进技术研究院 [3]
西安交通大学 [1]
青藏高原研究所 [1]
数学与系统科学研究院 [1]
寒区旱区环境与工程研... [1]
自动化研究所 [1]
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期刊论文 [9]
会议论文 [2]
发表日期
2018 [11]
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A semi-heterogeneous approach to combining crude oil price forecasts
期刊论文
INFORMATION SCIENCES, 2018, 卷号: 460, 页码: 279-292
作者:
Wang, Jue
;
Li, Xiang
;
Hong, Tao
;
Wang, Shouyang
收藏
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浏览/下载:39/0
  |  
提交时间:2018/10/07
Crude oil price
Decomposition and reconstruction
Forecast combination
Model selection
A Data Quality Control Method for Seafloor Observatories: The Application of Observed Time Series Data in the East China Sea
期刊论文
SENSORS, 2018, 卷号: 18, 期号: 8, 页码: 1
作者:
Yu, Yang
;
Zhou, Yusheng
;
Qin, Rufu
;
Xu, Huiping
;
Sadiq, Shazia
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2018/12/05
Seafloor Observatory
Data Quality Control
Arima
Outlier Detection
Data Interpolation
Short-term wind speed prediction using an extreme learning machine model with error correction
期刊论文
ENERGY CONVERSION AND MANAGEMENT, 2018, 卷号: 162, 期号: 0, 页码: 239-250
作者:
Li, X (Li, Xin)
;
Wang, LL (Wang, Lili)
;
Bai, YL (Bai, Yulong)
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/06/13
Neural-network
Feature-selection
Search Algorithm
Time-series
Decomposition
Elm
Emd
Optimization
System
China
A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking
期刊论文
IEEE ACCESS, 2018
作者:
Xie, Yaoqin
;
Zhu, Xuanyu
;
Liang, Xiaokun
;
Wang, Ran
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2019/01/31
A DDoS Detection Method for Socially Aware Networking Based on Forecasting Fusion Feature Sequence
期刊论文
COMPUTER JOURNAL, 2018
作者:
Tang, Xiangyan
;
Cheng, Jieren
;
Zhou, Jinghe
;
Liu, Qiang
;
Guo, Yanxiang
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  |  
浏览/下载:26/0
  |  
提交时间:2019/01/31
A Prediction Model of IoT Data Using Long Short-Term Memory Neural Network
会议论文
青岛, 2018
作者:
Meiyu Wen
;
Dandan Che
;
Jean-Pierre Niyigena
;
Ruohan Li
;
Qingshan Jiang
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2019/01/31
Particle Filter Based Time Series Prediction of Daily Sales of an Online Retailer
会议论文
作者:
Ping, Xueye
;
Chen, Qinyi
;
Liu, Guoquan
;
Su, Jionglong
;
Ma, Fei
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/19
autoregressive model
sales prediction
time series
autoregressive integrated moving average model
particle filter
Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm
期刊论文
Energy Conversion and Management, 2018, 卷号: 156, 页码: 525-541
作者:
Liu, Hui
;
Duan, Zhu
;
Han, Feng-ze
;
Li, Yan-fei*
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2019/12/03
NWP
numerical weather prediction
CS
Cuckoo search
FS
fuzzy system
WRF
weather research and forecasting
KF
Kalman filter
ARIMA
auto-regressive integrated moving average
ARCH
autoregressive conditional heteroskedasticity
ANN
artificial neural networks
SVM
support vector machine
CRO
Coral Reefs optimization algorithm
ELM
extreme learning machine
MFNN
multi-layer feed-forward neural network
SPSA
simultaneous perturbation stochastic approximation
HM
Hammerstein Model
AR
auto-regressive
AdaBoost
adaptive boosting
MLP
multilayer perceptron
DNN-MRT
deep neural network based meta regression and transfer learning
WD
wavelet decomposition
FEEMD
fast ensemble empirical mode decomposition
EMD
empirical mode decomposition
WPD
wavelet packet decomposition
SSA
singular spectrum analysis
BFGS
Broyden–Fletcher–Goldfarb–Shanno Quasi-Newton Back Propagation
LSSVM
least square support vector machine
PSOGSA
partial swarm optimization combined with gravitational search algorithm
FCM
fuzzy C-means
EEMD
ensemble empirical mode decomposition
SampEn
sample entropy
VMD
variational mode decomposition
MAdaBoost
Modified AdaBoost.RT
WF
wavelet filter
MAE
mean absolute error
MAPE
mean absolute percentage error
RMSE
root mean squared error
CWT
continuous wavelet transform
DWT
discrete wavelet transform
LMD
local mean decomposition
ADMM
alternate direction method of multipliers
Big multi-step wind speed forecasting
Wavelet decomposition
Variational mode decomposition
Sample entropy
Modified adaBoost.RT
Wavelet filter
Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia
期刊论文
ADVANCED ENGINEERING INFORMATICS, 2018, 卷号: 35, 页码: 1-16
作者:
Al-Musaylh, Mohanad S.
;
Deo, Ravinesh C.
;
Adarnowski, Jan F.
;
Li, Yan
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2019/10/09
Electricity demand forecasting
Machine learning
SVR
MARS
ARIMA
Short-term Cloud Coverage Prediction Using the ARIMA Time Series Model
期刊论文
Remote Sensing Letters, 2018, 期号: 3, 页码: 275-284
作者:
Wang Y(王钰)
;
Wang CH(王春恒)
;
Shi CZ(史存召)
;
Xiao BH(肖柏华)
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/05/06
Cloud Coverage
Arima Time Series Model
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