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科研机构
中南大学 [2]
兰州理工大学 [1]
过程工程研究所 [1]
内容类型
期刊论文 [4]
发表日期
2015 [4]
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A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier
期刊论文
CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2015, 卷号: 23, 期号: 9, 页码: 1484-1501
作者:
Cao, Cuiwen
;
Zhang, Yakun
;
Yu, Teng
;
Gu, Xingsheng
;
Xin, Zhong
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2015/12/21
3-Layer mixed cultural evolutionary framework
Optimal operation
Syngas production
Coal-water slurry gasifier
Blade pattern optimization of the hydraulic turbine based onneural network and genetic algorithm
期刊论文
Hangkong Dongli Xuebao/Journal of Aerospace Power, 2015, 卷号: 30, 期号: 8, 页码: 1918-1925
作者:
Miao, Sen-Chun
;
Yang, Jun-Hu
;
Wang, Xiao-Hui
;
Li, Ji-Cheng
;
Li, Tai-Long
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/11/14
Backpropagation algorithms
Curve fitting
Genetic algorithms
Hydraulic motors
Hydraulic turbines
Neural networks
Parameter estimation
Parameterization
Statistics
Blade pattern
Condition optimizations
Cubic b-spline curves
Experimental design method
Ga-bp neural networks
Learning and training
Optimization techniques
Pattern optimization
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
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
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