Evaluating Statistical Machine Learning Algorithms for Classifying Dominant Algae in Juam Lake and Tamjin Lake, Republic of Korea

Evaluating Statistical Machine Learning Algorithms for Classifying Dominant Algae in Juam Lake and Tamjin Lake, Republic of Korea

South Korea’s National Institute of Environmental Research (NIER) operates an algae alert system to monitor water quality at public water supply source sites. Accurate prediction of dominant harmful cyanobacterial genera, such as <i>Aphanizomenon</i>, <i>Anabaena</i>, <i&g...

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Bibliographic Details
Main Authors: Seong-Yun Hwang, Byung-Woong Choi, Jong-Hwan Park, Dong-Seok Shin, Hyeon-Su Chung, Mi-Sun Son, Chae-Hong Lim, Hyeon-Mi Chae, Don-Woo Ha, Kang-Young Jung
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Water
Subjects:
water quality
Yeongsan River
Seomjin River
correlation analysis
self-organizing map
statistical machine learning algorithm
Online Access:https://www.mdpi.com/2073-4441/15/9/1738

Internet

https://www.mdpi.com/2073-4441/15/9/1738

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