Litcius/Paper detail

A Novel Multi-model Data-Driven Ensemble Technique for the Prediction of Retention Factor in HPLC Method Development

A. G. Usman, Selin Işık, Sani I. Abba

2020Chromatographia75 citationsDOI

Topics & Concepts

Support vector machineArtificial neural networkChemistryEnsemble forecastingCorrelation coefficientMultilayer perceptronPerceptronContext (archaeology)Ensemble learningHigh-performance liquid chromatographyCalibrationMean squared errorArtificial intelligenceChromatographyPattern recognition (psychology)Machine learningComputer scienceStatisticsMathematicsPaleontologyBiologyWater Quality Monitoring and AnalysisSpectroscopy and Chemometric AnalysesAdvanced Chemical Sensor Technologies
A Novel Multi-model Data-Driven Ensemble Technique for the Prediction of Retention Factor in HPLC Method Development | Litcius