LEADER 01682nam0 22004333i 450 001 VAN0278761 005 20240627021833.324 017 70$2N$a9783031435447 100 $a20240627d2023 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aComputational Intelligence Applied to Inverse Problems in Radiative Transfer$fAntônio José da Silva Neto, José Carlos Becceneri, Haroldo Fraga de Campos Velho editors 210 $aCham$cSpringer$d2023 215 $axxxviii, 228 p.$cill.$d24 cm 610 $aArtificial Neural Networks$9KW:K 610 $aBio-inspired algorithms$9KW:K 610 $aComputational intellilgence$9KW:K 610 $aDifferential equations$9KW:K 610 $aDifferential evolution$9KW:K 610 $aGenetic Algorithms$9KW:K 610 $aInverse Problems$9KW:K 610 $aLuus-Jaakola method$9KW:K 610 $aMetaheuristics$9KW:K 610 $aOptimization$9KW:K 610 $aRadiation$9KW:K 610 $aRadiative transfer$9KW:K 610 $aStochastic and hybrid methods$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aBecceneri$bJosé Carlos$3VANV231314 702 1$ada Silva Neto$bAntônio José$3VANV231313 702 1$ade Campos Velho$bHaroldo Fraga$3VANV231315 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240628$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-031-43544-7$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 912 $fN 912 $aVAN0278761 996 $aComputational Intelligence Applied to Inverse Problems in Radiative Transfer$94168301 997 $aUNICAMPANIA