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期刊论文 [15]
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A Hybrid FCW-EMD and KF-BA-SVM Based Model for Short-term Load Forecasting
期刊论文
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2018, 卷号: 4, 页码: 226-237
作者:
Liu, Qingzhen
;
Shen, Yuanbin
;
Wu, Lei
;
Li, Jie
;
Zhuang, Lirong
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/21
SVM
Fuzzy combined weight
subjective weights
empirical mode fecomposition
Bat algorithm
short-term load forecasting
Kalman filtering
Trend Analysis of Relationship between Primary Productivity, Precipitation and Temperature in Inner Mongolia
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 卷号: 7, 期号: 6
作者:
Chen, Tianyang
;
Xie, Yichun
;
Liu, Chao
;
Bai, Yongfei
;
Zhang, Anbing
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/02/25
Inner Mongolia
vegetation growth
climate change
partial effect
EMD filtering
redundancy analysis
EMD-based online Filtering of Process Data
期刊论文
CONTROL ENGINEERING PRACTICE, 2017, 卷号: 62, 页码: 79-91
作者:
Ma, Xi
;
Hu, Jinqiu
;
Zhang, Laibin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/01/03
Online data filtering
Process data
EMD
Wavelet thresholding
Median filter
De-Noising of Magnetotelluric Signal in the Ore Concentration Area Based on Combination Filter
期刊论文
Journal of Jilin University. Earth Science Edition, 2017, 卷号: Vol.47 No.3, 页码: 874-883
作者:
Cai Jianhua
;
Xiao Xiao
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/31
empirical mode decomposition(EMD)
mathematical morphological filtering
adaptive filtering
magnetotelluric signal
de-noising
ore concentration area
An adaptive filtering method based on EMD for X-ray pulsar navigation with uncertain measurement noise
期刊论文
MATEC Web of Conferences, 2017, 卷号: Vol.114, 页码: 4017
作者:
Li N.
;
Kang Z. W.
;
Liu J.
;
Xu X. M.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
EMD and morphology based voltage disturbance detection method for power system connected with wind turbine generation
期刊论文
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2016, 卷号: 32, 期号: 11, 页码: 219-225
作者:
Bao, Guangqing
;
Song, Ze
;
Wu, Guodong
;
Xu, Hailong
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/11/14
Acoustic noise
Discrete wavelet transforms
Edge detection
Electric fields
Electric utilities
Fault detection
Functions
Mathematical morphology
Morphology
Reactive power
Signal reconstruction
Signal to noise ratio
Turbogenerators
Voltage measurement
White noise
Wind power
Wind turbines
Amplitude and frequency modulations
Empirical Mode Decomposition
Morphological edge detection
Quantitative assessment methods
Reactive power compensation device
Signal de-noising
Wind power integrations
Windowed Fourier transforms
联合收割机谷物流量检测与数据处理方法研究
学位论文
博士, 中国科学院沈阳自动化研究所: 中国科学院沈阳自动化研究所, 2015
作者:
王鹤
收藏
  |  
浏览/下载:143/0
  |  
提交时间:2015/12/25
谷物流量传感器
EMD去噪
谷物流量模型
谷物流量实验台
测产系统
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:21/0
  |  
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
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
Improved Goldstein SAR Interferogram Filter Based on Adaptive-Neighborhood Technique
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 卷号: 12, 期号: 1, 页码: 129-140
作者:
Song, Rui
;
Guo, Huadong
;
Liu, Guang
;
Perski, Zbigniew
;
Yue, Huanyin
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2016/04/20
Adaptive neighborhood
Goldstein filter
synthetic aperture radar (SAR) interferogram
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