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A COD measurement method with turbidity compensation based on a variable radial basis function neural network

Renhao Fan, Senlin Wang, Hao Chen

2023Analytical Methods13 citationsDOI

Abstract

coefficient of determination increases from 0.27 to 0.88, and the root-mean-square deviation decreases from 5.56 to 1.69. Compared with the improved bagging algorithm and MLP algorithm, this method can measure COD concentration from absorption spectra faster, more directly, and more accurately.

Topics & Concepts

TurbidityAbsorbanceBiological systemPartial least squares regressionPrincipal component analysisWavelengthChemical oxygen demandChemistryAnalytical Chemistry (journal)MathematicsEnvironmental scienceOpticsChromatographyEnvironmental engineeringStatisticsPhysicsSewage treatmentOceanographyGeologyBiologyWater Quality Monitoring and AnalysisWater Quality Monitoring TechnologiesSpectroscopy and Chemometric Analyses
A COD measurement method with turbidity compensation based on a variable radial basis function neural network | Litcius