Missing data imputation for an ocean research station based on multi-layer perceptron neural network

Missing data from ocean research stations pose significant challenges for accurate oceanographic modeling and analysis. Such data gaps frequently occur during summer typhoon seasons and often persist for extended periods due to severe weather conditions. This study introduces a multi-layer perceptro...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Nam-Hoon Kim, Sung-Hwan Park, Jin-Yong Jeong, Jin-Yong Choi, Ki-Young Heo, Yongchim Min, Jung-Woon Choi
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Elsevier 2026-02-01
Цуврал:	Applied Ocean Research
Нөхцлүүд:	Missing data imputation Typhoon-induced gaps Ieodo ocean research station (IORS) Multi-layer perceptron (MLP) neural network Sea surface temperature
Онлайн хандалт:	http://www.sciencedirect.com/science/article/pii/S0141118726000398
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!