Selection of Input Factors and Comparison of Machine Learning Models for Prediction of Dissolved Oxygen in Gyeongan Stream

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...

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Bibliographic Details
Main Authors:	Min Ji Kim, Seon Jeong Byeon, Kyung Min Kim, Johng-Hwa Ahn
Format:	Article
Language:	English
Published:	Korean Society of Environmental Engineers 2021-03-01
Series:	대한환경공학회지
Subjects:	artificial neural network convolutional neural network gated recurrent unit gyeongan stream random forest
Online Access:	https://www.jksee.or.kr/journal/view.php?number=4322

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