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Model | Purpose | Application |
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SVM | Regression classification, supervised ML, and pattern analysis | Membrane-process parameter modeling, biological oxygen demand, dissolved oxygen modeling of rivers, aquaponics growth rate modeling |
RF | Regression, classification, supervised ML | Adsorption process percent removal modeling, simple and hybrid dissolved oxygen modeling |
k-NN | Classification, supervised ML | Classification of aquaponics growth phase |
ANN | Regression, classification, supervised ML | Chlorine dosage/set-point, membrane-process parameter modeling and dissolved-oxygen concentration modeling |
HW | Regression, ML model | Dissolved-oxygen concentration |
CNN | Regression, classification, supervised ML, segmentation | DBP formation modeling |
RBF | Regression, classification, ML function | Membrane-process parameter modeling, the adsorption process removal efficiency, and DBP formation modeling |
RNN | Regression, classification, supervised ML | Suitable for time-series datasets and modeling, membrane-process parameter modeling, dissolve oxygen concentration modeling |
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