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科研机构

兰州理工大学 [4]

地理科学与资源研究所 [4]

清华大学 [3]

北京大学 [3]

西安交通大学 [3]

力学研究所 [2]

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期刊论文 [24]

会议论文 [2]

SCI/SSCI论文 [1]

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Structural... [1]

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	A New Approach for Structural Optimization with Application to Wind Turbine Tower 期刊论文 Energy Engineering: Journal of the Association of Energy Engineering, 2022, 卷号: 119, 期号: 3, 页码: 1017-1029 作者: Dong, Fugang; Zheng, Yuqiao; Li, Hao; He, Zhengwen 收藏 \| 浏览/下载：28/0 \| 提交时间：2022/06/20 Bionics Correlation methods Genetic algorithms Multiobjective optimization Structural design Structural optimization Towers Wind turbines Bionic bamboo tower Correlation analysis Multi-objectives optimization MW wind turbine New approaches Non dominated sorting genetic algorithm (NSGA II) Objective functions Structural optimisations Structural parameter Windturbine towers
	A Surrogate Model Based Multi-Objective Optimization Method for Optical Imaging System 期刊论文 Applied Sciences-Basel, 2022, 卷号: 12, 期号: 13, 页码: 21 作者: L. Sheng; W. C. Zhao; Y. Zhou; W. M. Lin; C. Y. Du and H. W. Lou 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/06/14
	Improved lhs based cumulant method for probabilistic load flow calculation 期刊论文 Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2021, 卷号: 42, 期号: 1, 页码: 14-20 作者: Zhang, Ping; Zhang, Hong; Li, Yunfeng; Chen, Wei; Zhang, Xiaoying 收藏 \| 浏览/下载：7/0 \| 提交时间：2022/02/17 Efficiency Electric load flow Photovoltaic cells Probability distributions Random variables Calculation accuracy and efficiencies Gram-Charlier series expansion Kernel Density Estimation Latin hypercube sampling Monte Carlo simulation methods Probabilistic load flow calculations Probabilistic modeling Probabilistic power flow
	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：9/0 \| 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
	Nonprobabilistic uncertain model updating and optimization design of thermal protection system 期刊论文 APPLIED THERMAL ENGINEERING, 2020, 卷号: 180, 页码: 14 作者: Jiang WT; Wang XJ; Wang RX(王睿星); Shi QH; Zhu JJ 收藏 \| 浏览/下载：21/0 \| 提交时间：2020/11/30 Thermal protection system Nonprobabilistic optimization Sensitivity analysis Uncertainty analysis Model updating
	An optimal sampling method for multi-temporal land surface temperature validation over heterogeneous surfaces 期刊论文 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 169, 页码: 29-43 作者: Li, Jing; Wu, Hua; Li, Zhao-Liang 收藏 \| 浏览/下载：10/0 \| 提交时间：2021/03/16 Optimal sampling Diurnal land surface temperature Validation Sampling representativeness Heterogeneous surfaces
	Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps 期刊论文 GEODERMA, 2020, 卷号: 370, 页码: 11 作者: Ma, Tianwu; Brus, Dick J.; Zhu, A-Xing; Zhang, Lei; Scholten, Thomas 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/03/23 Soil sampling Random forest Similarity-based predictive soil mapping K-means Simulated annealing Calibration sampling
	Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method 期刊论文 GEODERMA, 2020, 卷号: 369, 页码: 15 作者: Yang, Lin; Li, Xinming; Shi, Jingjing; Shen, Feixue; Qi, Feng 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/05/19 Conditioned Latin hypercube sampling Soil mapping Representativeness Sample randomness
	Prediction of snow water equivalent using artificial neural network and adaptive neuro-fuzzy inference system with two sampling schemes in semi-arid region of Iran 期刊论文 JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 7, 页码: 1712-1723 作者: Ghanjkhanlo, Hojat; Vafakhah, Mehdi; Zeinivand, Hossein; Fathzadeh, Ali 收藏 \| 浏览/下载：12/0 \| 提交时间：2020/11/24 ANFIS ANN Latin hypercube sampling Systematic random sampling Snow water equivalent Snow depth
	Expectation-maximisation model for stochastic distribution network planning considering network loss and voltage deviation 期刊论文 IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 卷号: 13, 期号: 2, 页码: 248-257 作者: Qi, Baoxia; Chen, Jiajia; Zhao, Yanlei; Jiao, Pihua 收藏 \| 浏览/下载：57/0 \| 提交时间：2019/12/11 particle swarm optimisation power distribution planning sampling methods wind turbines stochastic processes investment simulated annealing wind power plants continuously increasing demand forecasting error forecasting approach mean-variance-skewness based expectation maximisation model uncertain wind power MVSbEM model network loss voltage deviation power factors different forecasting wind wind turbines sample uncertain wind speed wind power penetration expectation-maximisation model stochastic distribution network planning substations upgrading Latin hypercube sampling method simulated annealing particle swarm optimisation algorithm stochastic DNP

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