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科研机构
中南大学 [2]
兰州理工大学 [1]
上海大学 [1]
内容类型
期刊论文 [4]
发表日期
2018 [2]
2015 [1]
2011 [1]
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Reconstruction and Modal Analysis for Flow Field of Low Specific Speed Centrifugal Pump Impeller
期刊论文
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2018, 卷号: 49, 期号: 12, 页码: 143-149
作者:
Zhang, Renhui
;
Chen, Xuebing
;
Guo, Guangqiang
;
Li, Rennian
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2020/11/14
Centrifugal pumps
Computational fluid dynamics
Flow fields
Forecasting
Impellers
Mean square error
Orthogonal functions
Principal component analysis
Radial basis function networks
Centrifugal pump impellers
Hydraulic performance
Low specific speed centrifugal pump
Modal characteristics
Optimization design
Proper orthogonal decompositions
Radial basis functions
Root mean square errors
Factor structure of the Geriatric Depression Scale and measurement invariance across gender among Chinese elders
期刊论文
Journal of Affective Disorders, 2018, 卷号: 238, 页码: 136-141
作者:
He, Jiayue
;
Zhong, Xue
;
Yao, Shuqiao*
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/03
Geriatric Depression Scale
Depression
Measurement invariance
Gender differences
Chinese elders
GDS
the Geriatric Depression Scale
EFA
exploratory factor analysis
CFA
confirmatory factor analysis
SD
standard deviation
SPSS
Statistical Product and Service Solutions
RMSEA
root-mean-square error of approximation
TLI
Tucker–Lewis index
CFI
comparative fit index
WLSMV
weighted least squares with mean and variance adjustment
BIC
Bayesian information criterion
PCA
Principal Component Analysis
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:26/0
  |  
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
The computation of the square roots of circulant matrices
期刊论文
APPLIED MATHEMATICS AND COMPUTATION, 2011, 卷号: 217, 页码: 6819-6829
作者:
Lu, Chengbo[1]
;
Gu, Chuanqing[2]
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/30
Circulant matrix
Quasi-skew circulant matrix
Principal square root
Reduced form
H-matrix
M-matrix
Schur decomposition
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