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清华大学 [3]
西安交通大学 [2]
长春光学精密机械与物... [1]
中南大学 [1]
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期刊论文 [5]
会议论文 [2]
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Fast SL0 algorithm for 3D imaging using bistatic MIMO radar
期刊论文
IET SIGNAL PROCESSING, 2018, 卷号: 12, 页码: 1017-1022
作者:
Hu, Xiaowei
;
Guo, Yiduo
;
Ge, Qichao
;
Su, Yutong
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/19
motion compensation
fast SL0 algorithm
3D imaging
multiple-input-multiple-output radar
radar resolution
radar imaging
MIMO radar
three-dimensional imaging method
bistatic MIMO radar
complex motion compensation
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
基于向量流场节点的图像分割算法
期刊论文
2010, 2010
李启翮
;
罗予频
;
萧德云
;
LI Qi-he
;
LUO Yu-pin
;
XIAO De-yun
收藏
  |  
浏览/下载:3/0
Fast multipole BEM for the analysis of pressure vessel opening structures
期刊论文
2010, 2010
Wang Wei
;
Wang Haitao
;
Shen Shifei
收藏
  |  
浏览/下载:2/0
Uplink carrier offset tracking method for orthogonal frequency division multiple access systems
期刊论文
2010, 2010
Ni Zuyao
;
Kuang Linling
;
Lu Jianhua
收藏
  |  
浏览/下载:5/0
Fast multipole integral equation method for VLSI interconnect inductance calculation
会议论文
作者:
Wang, Xiaoli
;
Luo, Xianjue
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/18
fast multiple method
inductance extraction
interconnect
VLSI
Fast determination of total ginsenosides content in Ginseng powder by near infrared reflectance spectroscopy (EI CONFERENCE)
会议论文
ICO20: Biomedical Optics, August 21, 2005 - August 26, 2005, Changchun, China
Chen H.-C.
;
Chen X.-D.
;
Lu Y.-J.
;
Cao Z.-Q.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2013/03/25
Near infrared (NIR) reflectance spectroscopy was used to develop a fast determination method for total ginsenosides in Ginseng (Panax Ginseng) powder. The spectra were analyzed with multiplicative signal correction (MSC) correlation method. The best correlative spectra region with the total ginsenosides content was 1660 nm1880 nm and 2230nm-2380 nm. The NIR calibration models of ginsenosides were built with multiple linear regression (MLR)
principle component regression (PCR) and partial least squares (PLS) regression respectively. The results showed that the calibration model built with PLS combined with MSC and the optimal spectrum region was the best one. The correlation coefficient and the root mean square error of correction validation (RMSEC) of the best calibration model were 0.98 and 0.15% respectively. The optimal spectrum region for calibration was 1204nm-2014nm. The result suggested that using NIR to rapidly determinate the total ginsenosides content in ginseng powder were feasible.
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