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LSTM model to predict missing data of dissolved oxygen in land-based aquaculture farm
저자
Lee, Sang-Yeon; Jeong, Deuk-Young; Choi, Jinseo; Jo, Seng-Kyoun; Park, Dae-Heon; Kim, Jun-Gyu
학술지명
ETRI JOURNAL
출판/발행연도
2024
주제
요약
본 연구는 육상 양식장에서 용존 산소(DO) 결측치를 예측하기 위해 LSTM 모델을 도입했습니다. 실험 결과, LSTM 모델은 약 3.25%의 오차율로 DO 수준을 예측하며, 양식장 수질 관리에 활용될 수 있습니다.
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