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大连理工大学 [10]

西安交通大学 [9]

北京航空航天大学 [7]

湖南大学 [7]

中南大学 [6]

武汉大学 [5]

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	Parallel ensemble Kalman method with total variation regularization for large-scale field inversion 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 卷号: 509, 页码: 18 作者: Zhang XL(张鑫磊); Zhang L(张磊); He GW(何国威) 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/07/04 Ensemble Kalman method Parallel implementation Field inversion Data assimilation Machine learning
	Machine Learning-Accelerated First-Principles Study of Atomic Configuration and Ionic Diffusion in Li₁₀GeP₂S₁₂ Solid Electrolyte 期刊论文 MATERIALS, 2024, 卷号: 17, 期号: 8, 页码: 14 作者: Qi, Changlin; Zhou, Yuwei; Yuan XZ(袁晓泽); Peng Q(彭庆); Yang, Yong 收藏 \| 浏览/下载：6/0 \| 提交时间：2024/05/27 Li10GeP2S12 solid electrolyte first-principles calculation Ewald-summation-based electrostatic energy machine learning- and active-learning-based LAsou method ab initio molecular dynamics
	Data augmented prediction of Reynolds stresses for flows around an axisymmetric body of revolution 期刊论文 OCEAN ENGINEERING, 2024, 卷号: 296, 页码: 14 作者: Liu, Yi; Wang, Shizhao; Zhang, Xin-Lei; He, Guowei 收藏 \| 浏览/下载：9/0 \| 提交时间：2024/05/21 Ensemble Kalman method Machine learning Turbulence modeling SUBOFF model
	Explainability analysis of neural network-based turbulence modeling for transonic axial compressor rotor flows 期刊论文 AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 141, 页码: 108542 作者: Wu CT(吴楚畋); Wang SZ(王士召); Zhang XL(张鑫磊); He GW(何国威) 收藏 \| 浏览/下载：20/0 \| 提交时间：2023/09/26 Explainability Ensemble Kalman method Turbulence model Axial compressor rotor Neural network Machine learning
	Mixture Correntropy-Based Kernel Extreme Learning Machines 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 811-825 作者: Zheng, Yunfei; Chen, Badong; Wang, Shiyuan; Wang, Weiqun; Qin, Wei 收藏 \| 浏览/下载：49/0 \| 提交时间：2022/03/17 Kernel Optimization Learning systems Robustness Support vector machines Mean square error methods Extreme learning machine (ELM) kernel method mixture correntropy online learning
	Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm 期刊论文 RESOURCES POLICY, 2021, 卷号: 74, 页码: 10 作者: Du, Pei; Guo, Ju'e; Sun, Shaolong; Wang, Shouyang; Wu, Jing 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/04/02 Metal prices forecasting Data processing method Optimized extreme learning machine Hybrid forecasting model
	Predicting the Risk of Hypertension Based on Several Easy-to-Collect Risk Factors: A Machine Learning Method 期刊论文 FRONTIERS IN PUBLIC HEALTH, 2021, 卷号: 9 作者: Zhao, Huanhuan; Zhang, Xiaoyu; Xu, Yang; Gao, Lisheng; Ma, Zuchang 收藏 \| 浏览/下载：38/0 \| 提交时间：2021/11/01 hypertension risk prediction machine learning method easy-to-collect lifestyle
	Slope reliability evaluation based on multi-objective grey wolf optimization-multi-kernel-based extreme learning machine agent model 期刊论文 Bulletin of Engineering Geology and the Environment, 2021, 卷号: 80, 期号: 3, 页码: 2011-2024 作者: Ling, Qing; Zhang, Qin; Wei, Yuming; Kong, Lingjie; Zhu, Li 收藏 \| 浏览/下载：15/0 \| 提交时间：2021/03/02 Geotechnical engineering Knowledge acquisition Landslides Machine learning Multiobjective optimization Reliability analysis Risk assessment Coefficient of variation Computational performance Extreme learning machine Machine learning methods Probabilistic evaluation Response surface method Strength reduction method Traditional techniques
	Nuclear liquid-gas phase transition with machine learning 期刊论文 Physical Review Research, 2020, 卷号: 2, 期号: 4 作者: Wang, Rui; Ma, Yu-Gang; Wada, R.; Chen, Lie-Wen; He, Wan-Bing 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/09/06 Learning systems Gases Heavy ions Liquefied gases Unsupervised learning Curve method Final state Heavy ion reactions Limiting temperature Liquid and gas phasis Liquid gas phase transition Machine learning techniques Supervised and unsupervised learning
	A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods 期刊论文 CATENA, 2019, 卷号: 183, 页码: 17 作者: Zhu, A-Xing; Miao, Yamin; Liu, Junzhi; Bai, Shibiao; Zeng, Canying 收藏 \| 浏览/下载：5/0 \| 提交时间：2020/05/19 Landslide absence data Sampling method Data-driven methods Landslide susceptibility mapping, similarity model, data mining and machine learning

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