Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea

Title
Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea
Authors
Keywords
Artificial neural network, Support vector machine, Early warning, Chlorophyll-a, Prediction accuracy, Sensitivity analysis
Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 502, Issue -, Pages 31-41
Publisher
Elsevier BV
Online
2014-09-19
DOI
10.1016/j.scitotenv.2014.09.005

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