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期刊论文 [8]
学位论文 [2]
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Spatiotemporal evolution of land transportation networks and accessibility in inland mountainous areas 1917-2017: A case study of Southwest China
期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 9, 页码: 2262-2279
作者:
Huang, Yan
;
Zong, Hui-ming
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/11/24
Southwest China
Mountainous areas
Transportation network
Spatiotemporal evolution
Accessibility
Infrastructure
Visible and Near Infrared Spectral Analysis of the Lubricating Oil Dynamic Viscosity Based on Quantum Genetic-Neural Network Algorithm
期刊论文
Spectroscopy and Spectral Analysis, 2020, 卷号: 40, 期号: 5, 页码: 1634-1639
作者:
C. Y. Liu
;
X. J. Tang
;
T. Yu
;
T. S. Wang
;
Z. W. Lu and W. X. Yu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2021/07/06
Evolutionary Rates of Bumblebee Genomes Are Faster at Lower Elevations
期刊论文
MOLECULAR BIOLOGY AND EVOLUTION, 2019, 卷号: 36, 期号: 6
作者:
Lin, Gonghua
;
Huang, Zuhao
;
Wang, Lei
;
Chen, Zhenhua
;
Zhang, Tongzuo
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/11/26
Bombus
diversity
genetic evolution
integrated evolutionary speed
genome
mitochondrial
nuclear
CESE-HLL Magnetic Field-Driven Modeling of the Background Solar Wind During Year 2008
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2018, 卷号: 123, 期号: 6, 页码: 4488-4509
作者:
Li, Huichao
;
Feng, Xueshang
;
Feng, XS (reprint author), Chinese Acad Sci, SIGMA Weather Grp, Natl Space Sci Ctr, State Key Lab Space Weather, Beijing, Peoples R China.
;
Feng, XS (reprint author), Univ Chinese Acad Sci, Coll Earth Sci, Beijing, Peoples R China.
;
Feng, XS (reprint author), HIT Inst Space Sci & Appl Technol, Shenzhen, Peoples R China.
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2018/09/06
Data-driven Modeling
Solar Wind Background
3-d Mhd Model
An improved MOEA/D for multi-objective job shop scheduling problem
期刊论文
International Journal of Computer Integrated Manufacturing, 2017, 卷号: 30, 期号: 6, 页码: 616-640
作者:
Zhao, Fuqing
;
Chen, Zhen
;
Wang, Junbiao
;
Zhang, Chuck
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/02/17
Decomposition
Evolutionary algorithms
Machine shops
Multiobjective optimization
Scheduling
Adaptive mechanism
Convergence performance
Convergence speed
Initial population
Job shop scheduling problems
Multi objective evolutionary algorithms
Multi-objective job shop scheduling
Multiple-objectives
An improved MOEA/D for multi-objective job shop scheduling problem
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2017, 卷号: 30, 期号: 6, 页码: 616-640
作者:
Zhao, Fuqing
;
Chen, Zhen
;
Wang, Junbiao
;
Zhang, Chuck
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/15
decomposition
job shop scheduling
multi-objective optimisation
multi-objective evolutionary algorithm based on decomposition
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
A dynamic co-evolution compact genetic algorithm for E/T problem
会议论文
17th IFAC Symposium on System Identification, SYSID 2015, Beijing, China, October 19-21, 2015
作者:
Han ZH(韩忠华)
;
Zhu YX(朱一行)
;
Lin S(林硕)
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2016/10/08
probabilistic models
dynamic co-evolution
compact genetic algorithm
flexible flow shop
earliness tardiness (E/T)
分布式聚焦伺服系统的研究
学位论文
硕士: 中国科学院上海光学精密机械研究所, 2009
作者:
陈璐
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2016/11/28
聚焦伺服
分布式控制系统
逆系统
嵌入式处理器
虚拟仪器
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