Using machine learning with target-specific feature sets for structure-property relationship modeling of octane numbers and octane sensitivity
Florian vom Lehn, Benedict Brosius, Rafal Broda, Liming Cai, Heinz Pitsch
Topics & Concepts
OctaneOctane ratingSensitivity (control systems)Quantitative structure–activity relationshipProperty (philosophy)Computer scienceFeature (linguistics)Set (abstract data type)Molecular descriptorArtificial intelligenceBiological systemMachine learningTraining setIgnition systemPattern recognition (psychology)ChemistryCombustionThermodynamicsEngineeringOrganic chemistryEpistemologyProgramming languageBiologyPhysicsElectronic engineeringPhilosophyLinguisticsAdvanced Combustion Engine TechnologiesBiodiesel Production and ApplicationsChemical Thermodynamics and Molecular Structure