中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
海洋研究所 [4]
中国科学院大学 [1]
采集方式
OAI收割 [4]
iSwitch采集 [1]
内容类型
期刊论文 [4]
CNKI期刊论文 [1]
发表日期
2023 [1]
2017 [2]
2016 [2]
学科主题
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A paralleled embedding high-dimensional Bayesian optimization with additive Gaussian kernels for solving CNOP
期刊论文
OAI收割
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:21/0
  |  
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
OAI收割
SCIENCE CHINA-EARTH SCIENCES, 2017, 卷号: 60, 期号: 5, 页码: 866-875
作者:
Zhang Kun
;
Mu Mu
;
Wang Qiang
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2017/09/29
Sensitive Area
Adaptive Observation
The Upstream Kuroshio Transport
Conditional Nonlinear Optimal Perturbation (Cnop)
Identifying the sensitive area in adaptive observation for predicting the upstream Kuroshio transport variation in a 3-D ocean model
CNKI期刊论文
OAI收割
2017
作者:
ZHANG Kun
;
MU Mu
;
WANG Qiang
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/12/18
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
OAI收割
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
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2017/03/21
Initial errors
The upstream Kuroshio transport
CNOP
Effects of optimal initial errors on predicting the seasonal reduction of the upstream kuroshio transport
期刊论文
iSwitch采集
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
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2019/05/09
Initial errors
The upstream kuroshio transport
Cnop