Hybrid machine learning system based on multivariate data decomposition and feature selection for improved multitemporal evapotranspiration forecasting
Jinwook Lee, Sayed M. Bateni, Changhyun Jun, Essam Heggy, Mehdi Jamei, Dongkyun Kim, Hamid Reza Ghafouri, Jonathan L. Deenik
Topics & Concepts
Computer scienceFeature selectionEvapotranspirationMultivariate statisticsArtificial intelligenceMachine learningSelection (genetic algorithm)DecompositionData miningFeature (linguistics)Pattern recognition (psychology)PhilosophyLinguisticsEcologyBiologyHydrological Forecasting Using AIAir Quality Monitoring and ForecastingEnergy Load and Power Forecasting