IOCAS-IR

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A paralleled embedding high-dimensional Bayesian optimization with additive Gaussian kernels for solving CNOP 期刊论文
OCEAN MODELLING, 2023, 卷号: 184, 页码: 26
作者:  Yuan, Shijin;  Liu, Yaxuan;  Qin, Bo;  Mu, Bin;  Zhang, Kun
收藏  |  浏览/下载:136/0  |  提交时间:2023/12/07
Autoencoder based Bayesian optimization  Additive Gaussian kernels  Paralleled acquisition function  CNOP  Regional ocean modeling system  Upstream Kuroshio transport  
Identifying the sensitive area in adaptive observation for predicting the upstream Kuroshio transport variation in a 3-D ocean model 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2017, 卷号: 60, 期号: 5, 页码: 866-875
作者:  Zhang Kun;  Mu Mu;  Wang Qiang
Adobe PDF(1350Kb)  |  收藏  |  浏览/下载:278/0  |  提交时间:2017/09/29
Sensitive Area  Adaptive Observation  The Upstream Kuroshio Transport  Conditional Nonlinear Optimal Perturbation (Cnop)  
Effects of optimal initial errors on predicting the seasonal reduction of the upstream Kuroshio transport 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2016, 卷号: 116, 页码: 220-235
作者:  Zhang, Kun;  Wang, Qiang;  Mu, Mu;  Liang, Peng
Adobe PDF(11550Kb)  |  收藏  |  浏览/下载:215/1  |  提交时间:2017/03/21
Initial Errors  The Upstream Kuroshio Transport  Cnop