Artificial Neural Network for the Short-Term Prediction of Arctic Sea Ice Concentration

• Published in: Remote Sensing Vol. 11; no. 9; p. 1071
• Main Authors: Choi, Minjoo, De Silva, Liyanarachchi Waruna Arampath, Yamaguchi, Hajime
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 06.05.2019
• Subjects: Archives & records; Arctic sea ice prediction; artificial neural network; artificial neural network; gated recurrent unit; Arctic sea ice prediction; short-term prediction; Artificial neural networks; Computer centers; Decision making; Freezing; gated recurrent unit; Ice; Ice environments; Neural networks; Q; Remote sensing; Science; Sea ice; short-term prediction; Snow; Statistical analysis; Temperature; Voice recognition; United States > US; Arctic region; Japan

In this paper, we applied an artificial neural network (ANN) to the short-term prediction of the Arctic sea ice concentration (SIC). The prediction was performed using encoding and decoding processes, in which a gated recurrent unit encodes sequential sea ice data, and a feed-forward neural network...