LEADER 02223nam0 22004573i 450 001 VAN0229434 005 20230605113320.120 017 70$2N$a9783030474393 100 $a20211019d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aNonlinear System Identification$efrom Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes$fOliver Nelles 205 $a2. ed 210 $aCham$cSpringer$d2020 215 $axxviii, 1225 p.$cill.$d24 cm 500 1$3VAN0229435$aNonlinear System Identification : From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes$91882037 606 $a93Cxx$xModel systems in control theory [MSC 2020]$3VANC022769$2MF 606 $a93B30$xSystem identification [MSC 2020]$3VANC023144$2MF 606 $a93-XX$xSystems theory; control [MSC 2020]$3VANC027040$2MF 606 $a93B20$xMinimal systems representations [MSC 2020]$3VANC036863$2MF 610 $aComplexity$9KW:K 610 $aFuzzy and neuro-fuzzy models$9KW:K 610 $aIdentification of dynamic systems$9KW:K 610 $aLinear and nonlinear dynamic system identification$9KW:K 610 $aLinear optimization$9KW:K 610 $aLocal model networks HILOMOT$9KW:K 610 $aLong short-term memory (LSTM) networks$9KW:K 610 $aNonlinear finite impulse response (NFIR)$9KW:K 610 $aNonlinear local optimization$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aNelles$bOliver$3VANV191737$044047 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-47439-3$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 $aVAN0229434 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4306 $e08eMF4306 20211019 996 $aNonlinear System Identification : from Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes$91882037 997 $aUNICAMPANIA