首页|期刊导航|海洋湖沼学报（英文版）|A Gaussian process regression-based sea surface temperature interpolation algorithm

A Gaussian process regression-based sea surface temperature interpolation algorithm

Yongshun ZHANG Miao FENG Weimin ZHANG Huizan WANG Pinqiang WANG

海洋湖沼学报（英文版）2021，Vol.39Issue(4)：1211-1221,11.

A Gaussian process regression-based sea surface temperature interpolation algorithm

Yongshun ZHANG ¹Miao FENG ¹Weimin ZHANG ¹Huizan WANG ²Pinqiang WANG¹

作者信息

1. College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410073,China
2. Key Laboratory of Software Engineering for Complex Systems,National University of Defense Technology,Changsha 410073,China
折叠

摘要

关键词

Gaussian process regression/sea surface temperature (SST)/machine learning/kernel function/spatial interpolation

Key words

Gaussian process regression/sea surface temperature (SST)/machine learning/kernel function/spatial interpolation

引用本文复制引用

Yongshun ZHANG,Miao FENG,Weimin ZHANG,Huizan WANG,Pinqiang WANG..A Gaussian process regression-based sea surface temperature interpolation algorithm[J].海洋湖沼学报（英文版）,2021,39(4):1211-1221,11.

基金项目

Supported by the National Natural Science Foundation of China(Nos.41675097,41375113) （Nos.41675097,41375113）

海洋湖沼学报（英文版）

OACSCDCSTPCDSCI

ISSN：2096-5508

访问量0

下载量0

段落导航