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科研机构
中南大学 [4]
兰州理工大学 [2]
西安交通大学 [1]
中南林业科技大学 [1]
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期刊论文 [8]
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2021 [2]
2018 [2]
2017 [1]
2016 [1]
2015 [2]
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Estimation model for steady infiltration rate and wetting pattern of aeolian sandy soil under vertical pipe surface drip irrigation
期刊论文
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2021, 卷号: 37, 期号: 7, 页码: 103-111
作者:
Fan, Yanwei
;
Wang, Yanxiang
;
Zhu, Pengcheng
;
Yang, Zhiwei
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/02/17
Irrigation
Mean square error
Ponding
Predictive analytics
Sand
Seed
Soils
Water conservation
Water resources
Wetting
Average absolute error
Cumulative infiltrations
Drip irrigation systems
Infiltration characteristic
Root mean square errors
State-of-the-art techniques
Steady infiltration rate
Water balance equation
Establishment and verification of the prediction model of soil wetting pattern size in vertical moistube irrigation
期刊论文
Water Science and Technology: Water Supply, 2021, 卷号: 21, 期号: 1, 页码: 331-343
作者:
Fan, Yanwei
;
Yang, Zhiwei
;
Wei, Hujun
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/03/02
Forecasting
Hydraulic conductivity
Irrigation
Mean square error
Moisture
Moisture determination
Reliability analysis
Soils
Wetting
Average absolute error
Efficiency coefficient
Initial Moisture Content
Irrigation engineerings
Root mean square errors
Saturated hydraulic conductivity
Soil wetting pattern
Statistical indicators
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
Prediction Algorithm for Software Defect Series Based on Nonlinear Weighted Ensemble Learning
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2017, 卷号: 51, 页码: 156-161
作者:
Jia, Xiaolin
;
Fan, Shuaishuai
;
Luo, Xue
;
Zhu, Xiaoyan
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/26
Average absolute error
Ensemble classifiers
Ensemble learning
Gradient Descent method
Mean absolute differences
Non-linear regression
Prediction algorithms
Software defects
Two-level Multi-surrogate Assisted Optimization method for high dimensional nonlinear problems
期刊论文
Applied Soft Computing Journal, 2016, 卷号: 46, 页码: 26-36
作者:
Li, Enying
;
Wang, Hu*
;
Ye, Fan
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/28
AI
Artificial Immune
EICAM
EI criterion assisted modeling
EGO
Efficient Global Optimization
EI
Expected Improvement
GA
Genetic Algorithm
GMDH
Group Method of Data Handling
GSS
Golden Section Sampling
HDMR
High Dimensional Model Representation
LOOCV
Leave-One-Out Cross Validation
MAS
Multi-surrogate Assisted Sampling algorithm
EImax
maximum EI
MLS
Moving Least Square
NTS
Number of Test Samples
PR
Polynomial Regression
PSO
Particle Swarm Optimization
RAAE
Relative Average Absolute Error
RBF
Radial Basis Function
RMAE
Relative Maximum Absolute Error
SA
Simulated Annealing
STD
Standard Deviation
SAEO
Surrogate Assisted Evolutionary Optimization
SAO
Surrogate Assisted Optimization
SVR
Support Vector Regression
TMAO
Two-level Multi-surrogate Assisted Optimization
TLBO
Teaching Learning-Based Optimization
SAO
HDMR
Separable
GMDH
Multi-surrogate
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:6/0
  |  
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: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
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