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科研机构
地理科学与资源研究所 [2]
力学研究所 [1]
兰州理工大学 [1]
地球环境研究所 [1]
合肥物质科学研究院 [1]
内容类型
期刊论文 [6]
发表日期
2021 [6]
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Modelling and application of a new method to measure the non-thermal electron current in the edge of magnetically confined plasma
期刊论文
NUCLEAR FUSION, 2021, 卷号: 61
作者:
Liu, S. C.
;
Liang, Y.
;
Zhang, H. X.
;
Yan, N.
;
Liao, L.
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浏览/下载:71/0
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提交时间:2021/11/15
non-thermal electron
SOL current
directional electron probe
Boris push
plasma
EAST
Hybridization of cokriging and gaussian process regression modelling techniques in mapping soil sulphur
期刊论文
CATENA, 2021, 卷号: 206, 页码: 18
作者:
John, Kingsley
;
Agyeman, Prince Chapman
;
Kebonye, Ndiye Michael
;
Isong, Isong Abraham
;
Ayito, Esther O.
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浏览/下载:173/0
  |  
提交时间:2021/11/05
Soil nutrient distribution
Digital soil mapping
Machine learning
Cokriging
Agricultural productivity
Integrated modelling for mapping spatial sources of dust in central Asia-An important dust source in the global atmospheric system
期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 9, 页码: 12
作者:
Gholami, Hamid
;
Mohammadifar, Aliakbar
;
Malakooti, Hossein
;
Esmaeilpour, Yahya
;
Golzari, Shahram
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浏览/下载:55/0
  |  
提交时间:2021/12/07
Dust spatial mapping
Effective factors
Deep learning
Hybrid copula-gcForest model
Gaussian copula model
Model sensitivity
Central asia
Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin
期刊论文
ENVIRONMENTAL MODELLING & SOFTWARE, 2021, 卷号: 141, 页码: 15
作者:
Li, Xin
;
Zhang, Ling
;
Zheng, Yi
;
Yang, Dawen
;
Wu, Feng
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浏览/下载:83/0
  |  
提交时间:2021/08/19
Watershed system model
Human-nature system
Decision support system
Water resource management
Heihe river basin
Endorheic river basin
Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms
期刊论文
GEOSCIENCE FRONTIERS, 2021, 卷号: 12, 期号: 1, 页码: 441-452
作者:
Zhang, Pin
;
Yin, Zhen-Yu
;
Jin, Yin-Fu
;
Chan, Tommy H. T.
;
Gao FP(高福平)
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浏览/下载:23/0
  |  
提交时间:2021/03/03
Compressibility
Clays
Machine learning
Optimization
Random forest
Genetic algorithm
Globally repetitive learning consensus control of unknown nonlinear multi-agent systems with uncertain time-varying parameters
期刊论文
Applied Mathematical Modelling, 2021, 卷号: 89, 页码: 348-362
作者:
Chen, Jiaxi
;
Li, Junmin
;
Yang, Nana
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浏览/下载:6/0
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提交时间:2020/11/14
Learning algorithms
Learning systems
Time varying control systems
Uncertainty analysis
Consensus control
Different distributions
Feed-forward compensator
Nonlinear multi-agent systems
Repetitive learning control
Simulation example
Time varying parameter
Unknown nonlinear systems
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