The combination of multiple linear regression and adaptive neuro-fuzzy inference system can accurately predict trihalomethane levels in tap water with fewer water quality parameters
Jianzhen Zhang, Duo Ye, Quanyou Fu, Minjie Chen, Hongjun Lin, Xiaoling Zhou, Wenjing Deng, Zeqiong Xu, Hongjie Sun, Huachang Hong
Topics & Concepts
Adaptive neuro fuzzy inference systemArtificial neural networkCorrelation coefficientLinear regressionTrihalomethaneApproximation errorStatisticsMean squared errorPredictive modellingCoefficient of determinationWater qualityMathematicsMean squared prediction errorRadial basis functionEnvironmental scienceComputer scienceMachine learningFuzzy logicArtificial intelligenceEnvironmental engineeringWater treatmentFuzzy control systemEcologyBiologyWater Treatment and DisinfectionWater Systems and OptimizationWater Quality Monitoring Technologies