LEADER 02510nam0 22005413i 450 001 VAN0274895 005 20240618124805.371 017 70$2N$a9783030832131 100 $a20240415d2021 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aMachine Learning Control by Symbolic Regression$fAskhat Diveev, Elizaveta Shmalko 210 $aCham$cSpringer$d2021 215 $aix, 155 p.$cill.$d24 cm 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 606 $a68W30$xSymbolic computation and algebraic computation [MSC 2020]$3VANC019771$2MF 606 $a62J02$xGeneral nonlinear regression [MSC 2020]$3VANC021211$2MF 606 $a65Gxx$xError analysis and interval analysis [MSC 2020]$3VANC023264$2MF 606 $a68T05$xLearning and adaptive systems in artificial intelligence [MSC 2020]$3VANC023390$2MF 606 $a68T20$xProblem solving in the context of artificial intelligence (heuristics, search strategies, etc.) [MSC 2020]$3VANC026578$2MF 606 $a93C40$xAdaptive control/observation systems [MSC 2020]$3VANC035157$2MF 606 $a68Vxx$xComputer science support for mathematical research and practice [MSC 2020]$3VANC037832$2MF 610 $aAnalytic programming$9KW:K 610 $aControl synthesis$9KW:K 610 $aGenetic algorithm$9KW:K 610 $aGrammatical evolution$9KW:K 610 $aIdentification$9KW:K 610 $aMachine learning$9KW:K 610 $aMobile robot control$9KW:K 610 $aMulticriterial function search$9KW:K 610 $aNetwork operator$9KW:K 610 $aOptimal Control$9KW:K 610 $aSymbolic regression$9KW:K 610 $aSynergetic control$9KW:K 610 $aTraining set$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aDiveev$bAskhat$3VANV227357$01072835 701 1$aShmalko$bElizaveta$3VANV227359$01734783 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240621$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-030-83213-1$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0274895 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 8298 $e08eMF8298 20240430 996 $aMachine Learning Control by Symbolic Regression$94153308 997 $aUNICAMPANIA