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科研机构
西安交通大学 [4]
大连理工大学 [4]
北京航空航天大学 [3]
地理科学与资源研究所 [3]
自动化研究所 [3]
北京大学 [2]
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期刊论文 [22]
会议论文 [7]
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Experimental warming shifts coupling of carbon and nitrogen cycles in an alpine meadow
期刊论文
JOURNAL OF PLANT ECOLOGY, 2021, 卷号: 14, 期号: 3, 页码: 541-554
作者:
Wang, Song
;
Quan, Quan
;
Meng, Cheng
;
Chen, Weinan
;
Luo, Yiqi
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2021/08/19
Bayesian probabilistic inversion
Markov-Chain Monte-Carlo (MCMC)
warming
carbon and nitrogen cycles
stoichiometry
alpine meadow
Applying Knowledge Inference on Event-Conjunction for Automatic Control in Smart Building
期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 3, 页码: 17
作者:
Ge, Hangli
;
Peng, Xiaohui
;
Koshizuka, Noboru
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/12/01
smart building
Internet of Things (IoT)
Markov Chain Monte Carlo (MCMC)
ontology
graph model
Evaluation of a Straight-Ray Forward Model for Bayesian Inversion of Crosshole Ground Penetrating Radar Data
期刊论文
ELECTRONICS, 2019, 卷号: 8, 页码: 630
作者:
Qin, Hui
;
Xie, Xiongyao
;
Tang, Yu
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2019/12/02
crosshole ground penetrating radar (GPR)
Bayesian inversion
Markov chain Monte Carlo (MCMC)
forward model
modeling error
discrete cosine transform (DCT)
Dynamic Modified Model for RC Columns Based on Experimental Observations and Bayesian Updating Method
期刊论文
JOURNAL OF ENGINEERING MECHANICS, 2019, 卷号: 145
作者:
Li, Rou-Han
;
Li, Hong-Nan
;
Li, Chao
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/02
Dynamic loading test
RC columns
Dynamic modified model
Bayesian updating method
Markov chain Monte Carlo (MCMC) algorithm
Probabilistic power flow based on slice sampling for distribution network containing distributed generations
会议论文
Shanghai, China, August 21, 2018 - August 24, 2018
作者:
Zhang, Y.
;
Zhang, X.Y.
;
Wang, K.
;
Chen, W.
;
Wang, X.L.
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  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Distributed power generation
Electric load flow
Intelligent systems
Iterative methods
Learning algorithms
Markov processes
Monte Carlo methods
Probability distributions
Computational accuracy
Gibbs sampling
Iterative operation
Markov chain monte carlo simulation
MCMC method
Power flow calculations
Probabilistic power flow
Slice samplings
Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion
期刊论文
ECOLOGICAL MODELLING, 2018, 卷号: 379, 页码: 39-53
作者:
Ren, Xiaoli
;
He, Honglin
;
Zhang, Li
;
Li, Fan
;
Liu, Min
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/05/23
Sensitivity analysis
Uncertainty analysis
Morris global sensitivity analysis method
Markov Chain Monte Carlo (MCMC)
Sobol' variance decomposition method
Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion
期刊论文
ECOLOGICAL MODELLING, 2018, 页码: 39-53
作者:
Zhang, Li
;
Ren, Xiaoli
;
Zhang, Junhui
;
Yu, Guirui
;
Liu, Min
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2018/09/10
Sensitivity analysis
Uncertainty analysis
Morris global sensitivity analysis method
Markov Chain Monte Carlo (MCMC)
Sobol' variance decomposition method
Improved characterization of underground structure defects from two-stage Bayesian inversion using crosshole GPR data
期刊论文
AUTOMATION IN CONSTRUCTION, 2018, 卷号: 95, 页码: 233-244
作者:
Qin, Hui
;
Vrugt, Jasper A.
;
Xie, Xiongyao
;
Zhou, Yunxiang
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/02
Underground structure
Crosshole ground-penetrating radar (GPR)
Bayesian waveform inversion
Markov chain Monte Carlo (MCMC)
Discrete cosine transform (DCT)
Area of interest (AOI)
A Bayesian Optimal Design for Accelerated Degradation Testing Based on the Inverse Gaussian Process
期刊论文
IEEE ACCESS, 2017, 卷号: 5, 页码: 5690-5701
作者:
Li, Xiaoyang
;
Hu, Yuqing
;
Zio, Enrico
;
Kang, Rui
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Accelerated degradation testing
Bayesian optimal design
inverse Gaussian process
Markov chain Monte Carlo (MCMC)
surface fitting
Source identification of sudden contamination based on the parameter uncertainty analysis
期刊论文
JOURNAL OF HYDROINFORMATICS, 2016, 卷号: 18, 页码: 919-927
作者:
Wei Guozhen
;
Chi Zhang
;
Yu Li
;
Liu Haixing
;
Zhou, Huicheng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/09
Markov Chain Monte Carlo (MCMC)
parameter uncertainty
source identification
sudden contamination incident
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