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A Hybrid Approach for the Prediction of Chlorophyll-a Concentration at the Non-monitoring Area in the Geum River, Korea.

Miyoung JangJangho ChoiJaeyoung KimDongil SeoJiyong Kim
Published in: ICTC (2020)
Keyphrases
  • water quality
  • prediction accuracy
  • monitoring system
  • real time
  • prediction model
  • prediction error
  • information systems
  • database
  • machine learning
  • learning algorithm
  • case study