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科研机构
清华大学 [5]
中南大学 [4]
大连理工大学 [3]
自动化研究所 [3]
数学与系统科学研究院 [2]
北京大学 [1]
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期刊论文 [25]
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2020 [2]
2019 [2]
2018 [3]
2017 [1]
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Ion Mobility Spectrometry Spectrum Denoising and Baseline Correction Algorithm by Sparse Representation
期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 卷号: 40, 期号: 1, 页码: 75-79
作者:
Zhang Gen-wei
;
Peng Si-long
;
Cao Shu-ya
;
Zhao Jiang
;
Yang Liu
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/03/30
Ion mobility spectrometry
Denoising
Baseline correction
Sparse representation
Iteratively reweighted least squares
Quantitative Estimation of Missing Value Interpolation Methods for Suomi-NPP VIIRS/DNB Nighttime Light Monthly Composite Images
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 199266-199288
作者:
Fan, Junfu
;
Zhang, Peng
;
Chen, Jiahao
;
Li, Bo
;
Han, Liusheng
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2021/03/16
VIIRS
DNB
nighttime light
missing value interpolation
temporal continuity
time-series analysis
Fast and Error-Bounded Space-Variant Bilateral Filtering
期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2019, 卷号: 34, 期号: 3, 页码: 550-568
作者:
Yuan, Meng-Ke
;
Dai, Long-Quan
;
Yan, Dong-Ming
;
Zhang, Li-Qiang
;
Xiao, Jun
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  |  
浏览/下载:72/0
  |  
提交时间:2019/05/07
error-bounded acceleration
edge-aware smoothing
space-variant bilateral filtering
A new method to mitigate data fluctuations for time series prediction
期刊论文
APPLIED MATHEMATICAL MODELLING, 2019, 卷号: 65, 页码: 390-407
作者:
Li, Chong
;
Yang, Yingjie
;
Liu, Sifeng
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  |  
浏览/下载:8/0
  |  
提交时间:2019/11/21
Weakening buffer operator
Time series forecasting
Exponential smoothing
Grey prediction
Interval decomposition ensemble approach for crude oil price forecasting
期刊论文
ENERGY ECONOMICS, 2018, 卷号: 76, 页码: 274-287
作者:
Sun, Shaolong
;
Sun, Yuying
;
Wang, Shouyang
;
Wei, Yunjie
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  |  
浏览/下载:40/0
  |  
提交时间:2019/03/05
Bivariate empirical mode decomposition
Crude oil price forecasting
Interval-valued time series
Interval Holt's method
Interval neural networks
基于Holt指数平滑模型的油井产量动态预测
期刊论文
自动化与仪表, 2018, 卷号: 33, 期号: 4, 页码: 68-70
作者:
张立婷
;
尚文利
;
曾鹏
;
刘春宇
;
李世超
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2018/06/17
时间序列
Holt指数平滑模型
油井产量动态预测
Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks
期刊论文
Energy Conversion and Management, 2018, 卷号: 155, 页码: 188-200
作者:
Liu, Hui
;
Mi, Xiwei
;
Li, Yanfei*
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  |  
浏览/下载:41/0
  |  
提交时间:2019/12/03
Wind speed forecasting
Wavelet packet decomposition
Complete Ensemble Empirical Mode Decomposition with Adaptive Noise
Artificial Neural Network
ANN
Artificial Neural Network
AR
Auto Regressive
ARIMA
Auto Regressive Integrated Moving Average
BA
Bat Algorithm
BP
Back-propagation Neural Network
CEEMDAN
Complete Ensemble Empirical Mode Decomposition
CG
Conjugate Gradient
CLSFPA
Flower Pollination Algorithm with Chaotic Local Search
CNN
Convolutional Neural Network
CS
Compressive Sensing
CSA
Cuckoo Search Algorithm
EEMD
Ensemble Empirical Mode Decomposition
ESM
Exponential Smoothing Method
FA
Firefly Algorithm
FAC
First-order Adaptive Coefficient
GA
Genetic Algorithm
GRNN
General Regression Neural Network
HBSA
Hybrid Backtracking Search Algorithm
HWM
Holt-Winters Model
IMFs
Intrinsic Mode Functions
IS
Input parameter Selection
KF
Kalman filter
LSSVM
Least Square Support Vector Machine
MAE
Mean Absolute Error
MAPE
Mean Absolute Percentage Error
MLP
Multilayer Perceptron Neural Network
MOBA
Multi Objective Bat Algorithm
NNCT
No Negative Constraint Theory
NSGA
Non-dominated Sorting Genetic Algorithm
OVMD
Optimized Variational Mode Decomposition
PSO
Particle Swam Optimization
PSOSA
Particle Swarm Optimization based on Simulated Annealing
PSR
Phase Space Reconstruction
RBF
Radial Basis Function Neural Network
RMSE
Root Mean Square Error
SAC
Second-order Adaptive Coefficient
SAM
Seasonal Adjustment Method
SDA
Secondary Decomposition Algorithm
SEA
Seasonal Exponential Adjustment
SOM
Self-Organizing feature Maps
SSA
Singular Spectrum Analysis
SVR
Support Vector Regression
VMD
Variational Mode Decomposition
v-SVM
v-Support Vector Machine
WD
Wavelet Decomposition
WPD
Wavelet Packet Decomposition
Coordinated Multicell Multicast Beamforming Based on Manifold Optimization
期刊论文
IEEE COMMUNICATIONS LETTERS, 2017
Zhou, Longfei
;
Zheng, Le
;
Wang, Xiaodong
;
Jiang, Wei
;
Luo, Wu
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2017/12/03
Multicast beamforming
max-min fair
manifold optimization
Riemannian conjugate gradient
ALGORITHMS
基于鲁棒Holt-Winter模型的超短期配变负荷预测方法
期刊论文
2016, 2016
吴越强
;
吴文传
;
李飞
;
张伯明
;
NGO Vietcuong
;
WU Wenchuan
;
LI Fei
;
ZHANG Boming
收藏
  |  
浏览/下载:3/0
Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions
期刊论文
Energy Conversion and Management, 2015, 卷号: 92, 页码: 67-81
作者:
Liu, Hui*
;
Tian, Hong-Qi
;
Li, Yan-Fei
;
Zhang, Lei
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/03
AA
Apriori Algorithm
RBF
Radial Basis Functions
SVR
Support Vector Regression
WDF
Weibull Distribution Function
MSM
Markov Switching Model
BI
Bayesian Interface
PM
Persistent Model
AR
Auto Regressive
ANN
artificial neural networks
BSBM
Bayesian Structural Break Model
KRRM
Kernel Ridge Regression Method
ALS
Active Learning Strategies
SAA
Seasonal Adjustment Algorithm
ESM
Exponential Smoothing Method
MLP
Multilayer Perceptron
BP
Back Propagation
KSF
Kalman Short-term Filtering
NWP
Numerical Weather Prediction
GA
Genetic Algorithm
PSO
Particle Swarm Optimization
PCA
Principal Component Analysis
FAC
First-order Adaptive Coefficient
SAC
Second-order Adaptive Coefficient
BT
Bayesian Theory
SBM
Structural Break Modeling
UKF
Unscented Kalman Filter
OFM
Organizing Feature Maps
EMD
Empirical Mode Decomposition
WT
Wavelet Transform
SVM
Support Vector Machine
ARIMA
Auto Regressive Integrated Moving Average
MAS
Multiple Architecture System
MLR
Multiple Linear Regression
Adaboost
Adaptive Boosting
GD-ALR-BP
Gradient Descent with Adaptive Learning Rate Back Propagation
GDM-ALR-BP
Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation
CG-BP-FR
Conjugate Gradient Back Propagation with Fletcher-Reeves Updates
BFGS
Broyden–Fletcher–Goldfarb–Shanno
Wind energy
Wind speed forecasting
Wind speed predictions
Adaboost algorithm
Neural networks
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