Improved Perceptron of Subsurface Chlorophyll Maxima by a Deep Neural Network: A Case Study with BGC-Argo Float Data in the Northwestern Pacific Ocean

Subsurface chlorophyll maxima (SCMs), commonly occurring beneath the surface mixed layer in coastal seas and open oceans, account for main changes in depth-integrated primary production and hence significantly contribute to the global carbon cycle. To fill the gap of previous methods (in situ measur...

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Главные авторы:	Jianqiang Chen, Xun Gong, Xinyu Guo, Xiaogang Xing, Keyu Lu, Huiwang Gao, Xiang Gong
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-01-01
Серии:	Remote Sensing
Предметы:	subsurface chlorophyll maximum deep neural network Gaussian radial basis activation function BGC-Argo northwestern Pacific Ocean
Online-ссылка:	https://www.mdpi.com/2072-4292/14/3/632
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