Selection of Input Factors and Comparison of Machine Learning Models for Prediction of Dissolved Oxygen in Gyeongan Stream
Objectives : In this study, we select input factors for machine learning models to predict dissolved oxygen (DO) in Gyeongan Stream and compare results of performance evaluation indicators to find the optimal model. Methods : The water quality data from the specific points of Gyeongan Stream were...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Environmental Engineers
2021-03-01
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| Series: | 대한환경공학회지 |
| Subjects: | |
| Online Access: | https://www.jksee.or.kr/journal/view.php?number=4322 |