Deep Learning Models to Predict Sea Surface Temperature in Tohoku Region
Author:
Affiliation:
1. Application Laboratory, VAiG, JAMSTEC, Yokohama, Japan
2. Faculty of Data Science, Shiga University, Hikone, Japan
Funder
Japan Science and Technology Agency (JST) CREST, Japan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09756452.pdf?arnumber=9756452
Reference29 articles.
1. Prediction of daily sea surface temperature using artificial neural networks
2. Prediction of Sea Surface Temperature Using Long Short-Term Memory
3. A CFCC-LSTM Model for Sea Surface Temperature Prediction
4. Sea Surface Temperature and High Water Temperature Occurrence Prediction Using a Long Short-Term Memory Model
5. Monthly and Quarterly Sea Surface Temperature Prediction Based on Gated Recurrent Unit Neural Network
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