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In order to early warn the alga bloom in a reservoir (drinking water source) in northeast China, we carried out a comparative investigation on three statistical machine learning methods to construct suitable one-step weekly Chlorophyll-a (Chla) prediction models: multiple linear regression (MLR), back propagation artificial neural network (BPANN) and support vector regression machine (SVR). Previously,...
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