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科研机构
中南大学 [10]
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期刊论文 [10]
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2018 [3]
2015 [2]
2014 [1]
2012 [1]
2011 [1]
2010 [2]
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内容类型:期刊论文
专题:中南大学
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Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure
期刊论文
Computers and Geosciences, 2018, 卷号: 115, 页码: 198-210
作者:
Asencio-Corté
;
s, G.
;
Morales-Esteban, A.
;
Shang, X.
;
Martí
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/03
Earthquake prediction
Big data analytics
Cluster computing
Regression
Ensemble learning
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
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*
收藏
  |  
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
Large Unbalanced Credit Scoring Using Lasso-Logistic Regression Ensemble
期刊论文
PLOS ONE, 2015, 卷号: 10, 期号: 2, 页码: e0117844
作者:
Wang, Hong
;
Xu, Qingsong
;
Zhou, Lifeng*
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/03
Machine learning algorithms,Algorithms,Decision tree learning,Machine learning,Support vector machines,Neural networks,Finance,Test statistics
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:25/0
  |  
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
Tree-based ensemble methods and their applications in analytical chemistry
期刊论文
TrAC - Trends in Analytical Chemistry, 2012, 卷号: 40, 页码: 158-167
作者:
Cao, Dong-Sheng
;
Huang, Jian-Hua
;
Liang, Yi-Zeng*
;
Xu, Qing-Song
;
Zhang, Liang-Xiao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/03
Chemometrics
Classification and regression tree (CART)
Cluster analysis
Complex data
Ensemble algorithm
Kernel method
Outlier detection
Pattern analysis
Tree-based ensemble
Variable selection
A novel kernel Fisher discriminant analysis: Constructing informative kernel by decision tree ensemble for metabolomics data analysis
期刊论文
Analytica Chimica Acta, 2011, 卷号: 706, 期号: 1, 页码: 97-104
作者:
Cao, Dong-Sheng
;
Zeng, Mao-Mao
;
Yi, Lun-Zhao
;
Wang, Bing
;
Xu, Qing-Song
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/03
Biomarker discovery
Classification and regression tree (CART)
Decision tree
Fisher discriminant analysis (FDA)
Kernel methods
Metabolomics
Automatic feature subset selection for decision tree-based ensemble methods in the prediction of bioactivity
期刊论文
Chemometrics and Intelligent Laboratory Systems, 2010, 卷号: 103, 期号: 2, 页码: 129-136
作者:
Cao, Dong-Sheng
;
Xu, Qing-Song
;
Liang, Yi-Zeng*
;
Chen, Xian
;
Li, Hong-Dong
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/03
Feature selection
Bagging
Boosting
Random Forest (RF)
Classification and Regression Tree (CART)
Ensemble learning
The boosting: A new idea of building models
期刊论文
Chemometrics and Intelligent Laboratory Systems, 2010, 卷号: 100, 期号: 1, 页码: 1-11
作者:
Cao, Dong-Sheng
;
Xu, Qing-Song
;
Liang, Yi-Zeng*
;
Zhang, Liang-Xiao
;
Li, Hong-Dong
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/03
AdaBoost
Gradient boosting (GB)
Classification and Regression Tree (CART)
Bagging
Ensemble learning
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