Machine-Learning-Based Hybrid Random-Fuzzy Uncertainty Quantification for EMC and SI Assessment

De Ridder, SimonSimonDe RidderSpina, DomenicoDomenicoSpinaToscani, NicolaNicolaToscaniGrassi, FlaviaFlaviaGrassiVande Ginste, DriesDriesVande GinsteDhaene, TomTomDhaene2022-01-182021-11-022022-01-1820200018-9375WOS:000599506500023https://imec-publications.be/handle/20.500.12860/38350Machine-Learning-Based Hybrid Random-Fuzzy Uncertainty Quantification for EMC and SI AssessmentJournal article10.1109/TEMC.2020.2980790WOS:000599506500023POLYNOMIAL-CHAOSVARIABILITY ANALYSISGLOBAL OPTIMIZATIONMULTIPORT SYSTEMS