@article{ART002899668},
author={Young-Joo Kim and Soojin Lee and Young-won Kim},
title={Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={11},
pages={47-55},
doi={10.9708/jksci.2022.27.11.047}
TY - JOUR
AU - Young-Joo Kim
AU - Soojin Lee
AU - Young-won Kim
TI - Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 11
PB - The Korean Society Of Computer And Information
SP - 47
EP - 55
SN - 1598-849X
AB - Recently, researches on the prediction of sea water temperature using artificial intelligence models has been actively conducted in Korea. However, most researches in the sea around the Korean peninsula mainly focus on predicting sea surface temperatures. Unlike previous researches, this research predicted the vertical sea water temperature profile of the East Sea, which is very important in submarine operations and anti-submarine warfare, using XBT(eXpendable Bathythermograph) data and machine learning models(RandomForest, XGBoost, LightGBM). The model was trained using XBT data measured from sea surface to depth of 200m in a specific area of the East Sea, and the prediction accuracy was evaluated through MAE(Mean Absolute Error) and vertical sea water temperature profile graphs.
KW - Machine Learning;RandomForest;XGBoost;LightGBM;XBT;Vertical Sea Water Temperature Profile Prediction
DO - 10.9708/jksci.2022.27.11.047
ER -
Young-Joo Kim, Soojin Lee and Young-won Kim. (2022). Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data. Journal of The Korea Society of Computer and Information, 27(11), 47-55.
Young-Joo Kim, Soojin Lee and Young-won Kim. 2022, "Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data", Journal of The Korea Society of Computer and Information, vol.27, no.11 pp.47-55. Available from: doi:10.9708/jksci.2022.27.11.047
Young-Joo Kim, Soojin Lee, Young-won Kim "Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data" Journal of The Korea Society of Computer and Information 27.11 pp.47-55 (2022) : 47.
Young-Joo Kim, Soojin Lee, Young-won Kim. Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data. 2022; 27(11), 47-55. Available from: doi:10.9708/jksci.2022.27.11.047
Young-Joo Kim, Soojin Lee and Young-won Kim. "Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data" Journal of The Korea Society of Computer and Information 27, no.11 (2022) : 47-55.doi: 10.9708/jksci.2022.27.11.047
Young-Joo Kim; Soojin Lee; Young-won Kim. Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data. Journal of The Korea Society of Computer and Information, 27(11), 47-55. doi: 10.9708/jksci.2022.27.11.047
Young-Joo Kim; Soojin Lee; Young-won Kim. Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data. Journal of The Korea Society of Computer and Information. 2022; 27(11) 47-55. doi: 10.9708/jksci.2022.27.11.047
Young-Joo Kim, Soojin Lee, Young-won Kim. Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data. 2022; 27(11), 47-55. Available from: doi:10.9708/jksci.2022.27.11.047
Young-Joo Kim, Soojin Lee and Young-won Kim. "Prediction of Vertical Sea Water Temperature Profile in the East Sea Based on Machine Learning and XBT Data" Journal of The Korea Society of Computer and Information 27, no.11 (2022) : 47-55.doi: 10.9708/jksci.2022.27.11.047