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中南大学 [5]
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Regression models (SVR, EMD and FastICA) in forecasting water quality of the Haihe River of China
期刊论文
DESALINATION AND WATER TREATMENT, 2019, 卷号: 154, 页码: 147-159
作者:
Liang, Nan
;
Zou, Zhihong
;
Wei, Yigang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/30
Water quality forecasting
Dissolved oxygen (DO)
Empirical mode decomposition (EMD) algorithm
Fast independent component analysis (FastICA) algorithm
Noise reduction
Support vector regression (SVR) algorithm
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:40/0
  |  
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
An improved EMD method with modified envelope algorithm based on C-2 piecewise rational cubic spline interpolation for EMI signal decomposition
期刊论文
APPLIED MATHEMATICS AND COMPUTATION, 2018, 卷号: 335, 页码: 112-123
作者:
Li, Hongyi
;
Li, Ling
;
Zhao, Di
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Empirical mode decomposition (EMD)
C-2 piecewise rational cubic spline interpolation (PRCSI)
C-2 monotone piecewise rational cubic spline interpolation (MPRCSI)
Envelope algorithm
Undershoots
Multiple-Reflection Noise Attenuation Using Adaptive Randomized-Order Empirical Mode Decomposition
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 页码: 18-22
作者:
Chen, Wei
;
Xie, Jianyong
;
Zu, Shaohuan
;
Gan, Shuwei
;
Chen, Yangkang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/01/03
Adaptive algorithm
empirical mode decomposition (EMD)
multiple reflections noise attenuation
randomized-order EMD
An Improved Positioning Algorithm in Long Range Asymmetric Perimeter Security System
期刊论文
Journal of Lightwave Technology, 2016, 页码: 1
作者:
Liu, K.a
;
Tian, M.a
;
Jiang, J.a
;
An, J.b
;
Xu, T.c
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/21
Security
Sensors
Delay effects
Optical fibers
Vibrations
Optical fiber cables
Empirical mode decomposition
Empirical mode decomposition (EMD)
Fiber optic distributed sensor
Asymmetric dual Mach–
Zehnder interferometer (ADMZI)
positioning algorithm
signal analysis
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:22/0
  |  
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
Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms
期刊论文
Energy Conversion and Management, 2015, 卷号: 100, 页码: 16-22
作者:
Liu, Hui*
;
Tian, Hong-Qi
;
Li, Yan-Fei
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/03
WD
Wave let Decomposition
WPD
Wavelet Packet Decomposition
EMD
Empirical Mode Decomposition
EEMD
Ensemble Empirical Mode Decomposition
FEEMD
Fast Ensemble Empirical Mode Decomposition
MLP
Multi Layer Perceptron
ANFIS
Adaptive Network-based Fuzzy Inference System
BP
Back Propagation
GA
Genetic Algorithm
PSO
Particle Swarm Optimization
EA
Evolutionary Algorithm
AA
Adaboost Algorithm
ARIMA
Autoregressive Integrated Moving Average
SLFNN
Single-hidden Layer Feed-forward Neural Networks
MAE
Mean Absolute Error
MAPE
Mean Absolute Percentage Error
RMSE
Root Mean Square Error
Wind energy
Wind speed forecasting
Wind speed decomposition
Wavelet
Extreme learning machines
Empirical mode decomposition
Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks
期刊论文
Applied Energy, 2015, 卷号: 157, 页码: 183-194
作者:
Liu, Hui*
;
Tian, Hong-Qi
;
Liang, Xi-Feng
;
Li, Yan-Fei
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/12/03
ARIMA
Auto Regressive Integrated Moving Average
ANN
Artificial Neural Networks
KF
Kalman Filter
MSM
Markov Switching Model
PCA
Principal Component Analysis
AA
Apriori Algorithm
BT
Bayesian Theory
SBM
Structural Break Modeling
GMCM
Gaussian Mixture Copula Model
NWP
Numerical Weather Prediction
KSF
Kalman Short-term Filtering
HIRLAM
High Resolution Limited Area Model
BP
Back Propagation
RBF
Radial Basis Function
ALE
Adaptive Linear Element
MAS
Multiple Architecture System
MLR
Multiple Linear Regression
MLP
Multi-Layer Perceptron
RBF
Radial Basis Function
SVM
Support Vector Machine
ABA
Ada-boost Algorithm
PSO
Particle Swarm Optimization
FAC
First-order Adaptive Coefficient
SAC
Second-order Adaptive Coefficient
SAA
Seasonal Adjustment Algorithm
ESM
Exponential Smoothing Method
MFNN
Multi-layer Feed-forward Neural Networks
FRR
Fuzzy Rough Regression
ELM
Extreme Learning Machines
MM5
Fifth Generation Mesoscale Model
GNWP
Global Numerical Weather Prediction
EPA
Evolutionary Programming Algorithm
OFM
Organizing Feature Maps
WD
Wavelet Decomposition
WPD
Wavelet Packet Decomposition
NF
Neuro-Fuzzy
ANFIS
Adaptive Neuro-Fuzzy Inference Systems
PM
Persistent Model
UKF
Unscented Kalman Filter
SVR
Support Vector Regression
FEEMD
Fast Ensemble Empirical Mode Decomposition
HM
Hammerstein Model
AR
Auto Regressive
EMD
Empirical Mode Decomposition
SDA
Secondary Decomposition Algorithm
PRWM
Persistent Random Walk Model
IMFs
Intrinsic Mode Functions
EEMD
Ensemble Empirical Mode Decomposition
GD-BP
Gradient Descent Back Propagation
GDM-BP
Gradient Descent with Momentum Back Propagation
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-FRU
Conjugate Gradient Back Propagation with Fletcher-Reeves Updates
CG-BP-PR
Conjugate Gradient Back Propagation with Polak-Ribiére Update
CG-BP-PBR
Conjugate Gradient Back Propagation with Powell-Beale Restarts
SCG-BP
Scaled Conjugate Gradient Back Propagation
BFGS-BP
Broyden-Fletcher-Goldfarb-Shanno Back Propagation
OSS-BP
One Step Secant Back Propagation
LM-BP
Levenberg Marquardt Back Propagation
MAE
Mean Absolute Error
MAPE
Mean Absolute Percentage Error
RMSE
Root Mean Square Error
Wind speed forecasting
Secondary decomposition algorithm
Wavelet packet decomposition
Fast ensemble empirical mode decomposition
Elman neural networks
Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions
期刊论文
Energy Conversion and Management, 2014, 卷号: 89, 页码: 1-11
作者:
Liu, Hui*
;
Tian, Hong-qi
;
Li, Yan-fei
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/03
WDF
Weibull Distribution Function
WD
Wavelet Decomposition
WPD
Wavelet Packet Decomposition
EEMD
Ensemble Empirical Mode Decomposition
FEEMD
Fast Ensemble Empirical Mode Decomposition
SAM
Seasonal Adjustment Method
ESM
Exponential Smoothing Method
RBF
Radial Basis Function
HWM
Holt Winters Model
PSO
Particle Swarm Optimization
MLP
Multilayer Perceptron Network
GA
Genetic Algorithm
PCA
Principal Component Analysis
BT
Bayesian Theory
SBM
Structural Break Modeling
EMD
Empirical Mode Decomposition
ANN
Artificial Neural Networks
UKF
Unscented Kalman Filter
SVR
Support Vector Regression
AR
Auto Regressive
OFM
Organizing Feature Maps
PM
Persistence Method
WTT
Wavelet Transform Technique
ENN
Elman Neural Network
CWT
Continuous Wavelet Transform
IMF
Intrinsic Mode Functions
ANFIS
Adaptive Neuro Fuzzy Inference System
ARIMA
Auto Regressive Integrated Moving Average
BFGS
Broyden Fletcher Goldfarb Shanno Algorithm
RBFN
Radial Basis Function Network
Wind energy
Wind speed forecasting
Wind speed predictions
Empirical mode decomposition
Fast ensemble empirical mode decomposition
Wavelet decomposition
Wavelet packet decomposition
Artificial neural networks
EMD Revisited: A New Understanding of the Envelope and Resolving the Mode-Mixing Problem in AM-FM Signals
期刊论文
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 卷号: 60, 期号: 3, 页码: 1075-1086
作者:
Hu, Xiyuan
;
Peng, Silong
;
Hwang, Wen-Liang
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2015/08/12
Empirical mode decomposition (EMD)
envelope algorithm
mode mixing
signal decomposition
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