Developing machine learning models for accurate prediction of radiative efficiency of greenhouse gases
Balaganesh Muthiah, Shih‐Cheng Li, Yi‐Pei Li, Yi‐Pei Li
Topics & Concepts
Greenhouse gasRadiative transferRadiative forcingDensity functional theoryMean squared errorComputer scienceArtificial neural networkGreenhouseAtmospheric radiative transfer codesForcing (mathematics)Environmental scienceMachine learningChemistryAtmospheric sciencesMeteorologyMathematicsPhysicsComputational chemistryStatisticsOpticsEcologyHorticultureBiologyAerosolAtmospheric chemistry and aerosolsMachine Learning in Materials ScienceAir Quality and Health Impacts