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清华大学 [2]

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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 收藏 \| 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 收藏 \| 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. 收藏 \| 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 江永强收藏 \| 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; 雷鹰收藏 \| 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 收藏 \| 浏览/下载：3/0

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