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Modeling and analysis of a H1N1 model with relapse and effect of Twitter
期刊论文
Physica A: Statistical Mechanics and its Applications, 2020, 卷号: 560
作者:
Huo, Hai-Feng
;
Jing, Shuang-Lin
;
Wang, Xun-Yang
;
Xiang, Hong
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/11/14
Correlation methods
Disease control
Diseases
Least squares approximations
Sensitivity analysis
Uncertainty analysis
Cross-correlation analysis
Influenza epidemics
Latin hypercube sampling
Nonlinear least square methods
Partial rank correlation coefficients
Pearson correlation
Quantitative approach
Uncertainty and sensitivity analysis
Filling Gaps of Monthly Terra/MODIS Daytime Land Surface Temperature Using Discrete Cosine Transform Method
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 3, 页码: 16
作者:
Liu, Hengzi
;
Lu, Ning
;
Jiang, Hou
;
Qin, Jun
;
Yao, Ling
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/05/19
gaps filling
land surface temperature
discrete cosine transform
penalized least square approach
MODIS
A decomposition-clustering-ensemble learning approach for solar radiation forecasting
期刊论文
SOLAR ENERGY, 2018, 卷号: 163, 页码: 189-199
作者:
Sun, Shaolong
;
Wang, Shouyang
;
Zhang, Guowei
;
Zheng, Jiali
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2018/07/30
Solar radiation forecasting
Decomposition-clustering-ensemble learning approach
Ensemble empirical mode decomposition
Least square support vector regression
Takagi-Sugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting
期刊论文
IET Renewable Power Generation, 2017, 卷号: 11, 期号: 10, 页码: 1281-1287
作者:
Liu, Fang
;
Li, Ranran
;
Li, Yong*
;
Yan, Ruifeng
;
Saha, Tapan
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/03
photovoltaic power systems
load forecasting
least mean squares methods
recursive estimation
support vector machines
backpropagation
recurrent neural nets
fuzzy reasoning
power engineering computing
Takagi-Sugeno fuzzy model-based approach
multiple-weather factors
photovoltaic power short-term forecasting
PV systems
electricity supply
PV power forecasting
air temperature
humidity
wind speed
wind direction
insolation
T-S fuzzy model
correlation analysis
fuzzy c-mean clustering algorithm
recursive least square method
St Lucia campus
The Queensland University of Australia
support vector machine
SVM
empirical mode decomposition
back propagation neural network
recurrent neural network
power 433 kW
Distributed estimation for stochastic hybrid systems with event-triggered sensor schedule
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 页码: 173-181
作者:
Zhang, Cui
;
Jia, Yingmin
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  |  
浏览/下载:6/0
  |  
提交时间:2019/12/30
stochastic systems
closed loop systems
Monte Carlo methods
least mean squares methods
sensors
manoeuvring target tracking
Monte Carlo simulations
linear minimum mean square error
sensor measurements
closed-loop schedule rule
event-triggered state estimator
IMM approach
interacting multiple model
event-triggered sensor schedule
stochastic hybrid systems
Reagentless near-infrared determination of cholesterol in undiluted human serum using interval partial least square (EI CONFERENCE)
会议论文
2011 International Conference on Smart Materials and Nanotechnology in Engineering, SMNE 2011, September 17, 2011 - September 18, 2011, Wuhan, China
Gao H.
;
Lu Q.
;
Huang F.
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  |  
浏览/下载:23/0
  |  
提交时间:2013/03/25
In order to determination of cholesterol in human serum with no reagent using nearinfrared (NIR) spectroscopy. Interval partial least square (iPLS) was proposed as an effective variable selection approach for multivariate calibration. For this purpose
an independent sample set was employed to evaluate the prediction ability of the resulting model. The spectrum was split into different interval. Then
the informative region of cholesterol (1688-1760nm)
in which the PLS model has a low RMSEP with 0.241mmol/L and a high R with 0.975
is selected with 23 intervals. The results indicate that
the informative region of cholesterol can be obtained by iPLS and applied to design the simpler reagentless NIR instruments for inexpensive cholesterol measurement in future. (2012) Trans Tech Publications
Switzerland.
基于两步卡尔曼预测估计的结构损伤与结构非线性识别方法
学位论文
2012, 2012
江永强
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  |  
浏览/下载:4/0
  |  
提交时间:2016/02/14
结构损伤识别
两步卡尔曼预测估计
结构非线性
无模型
部分观测
未知激励
子结构方法
最小二乘估计
Structural damage detection
Two-step Kalman estimator
Structural Nonlinearity
Model free
Partial measures
Unknown inputs
Substructure approach
Least square estimation
基于ASCESHMBenchmark模型的两阶段结构损伤识别方法
期刊论文
2011
刘朝
;
雷鹰
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  |  
浏览/下载:6/0
  |  
提交时间:2016/05/17
结构损伤识别
两阶段策略
SHM benchmark模型
子结构方法
扩展卡尔曼估计
最小二乘估计
structural damage detection
two-stage strategy
SHM benchmark problem
substructure approach
extended Kalman estimator:least-square estimation
集成于微型飞行器机翼上的流场传感器测量系统研究
期刊论文
2010, 2010
刘旭东
;
朱荣
;
续立军
;
张福星
;
刘鹏
;
周兆英
;
LIU Xudong
;
ZHU Rong
;
XU Lijun
;
ZHANG Fuxing
;
LIU Peng
;
ZHOU Zhaoying
收藏
  |  
浏览/下载:4/0
微型热式流速传感器及其在微型飞行器翼表流场测量中的应用
期刊论文
2010, 2010
费海平
;
朱荣
;
周兆英
;
FEI Hai-ping
;
ZHU Rong
;
ZHOU Zhao-ying
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  |  
浏览/下载:3/0
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