LEADER 01253nam a2200277 i 4500 001 991001509889707536 008 111128s2011 it 000 0 spa d 020 $a9788824320207 035 $ab14025875-39ule_inst 040 $aDip.to Studi Giuridici$bita 082 0 $a340.54 245 10$a2. Seminario en el Caribe Derecho romano y latinidad :$bidentidad e integracion latinoamericana y caribena : La Habana-Cuba, 12 al 14 de febrero de 2004 /$ccoordinadores y compiladores Pietro Paolo Onida y Euripides Valdes Loban ; con la colaboracion de Orisel Hernandez Aguilar y Liana Simon Otero 246 13$aSegundo Seminario en el Caribe 260 $aNapoli :$bJovene,$c2011 300 $axv, 327 p. ;$c24 cm 440 0$aPubblicazioni a cura del Dipartimento di scienze giuridiche 650 4$aDiritto romano 700 1 $aOnida, Pietro Paolo $eauthor$4http://id.loc.gov/vocabulary/relators/aut$0280484 700 1 $aValdés Lobán, Eurípides 700 1 $aHernández Aguilar, Orisel 700 1 $aSimón Otero, Liana 907 $a.b14025875$b02-04-14$c28-11-11 912 $a991001509889707536 996 $a2. Seminario en el Caribe Derecho romano y latinidad$91441938 997 $aUNISALENTO 998 $ale027$b28-11-11$cm$da $e-$fspa$git $h0$i0 LEADER 01402nas 2200457- 450 001 9910134821803321 005 20260218112234.0 011 $a2054-8923 035 $a(OCoLC)903556060 035 $a(CKB)3830000000000012 035 $a(CONSER)--2015268508 035 $a(DE-599)ZDB2806694-7 035 $a(MiAaPQ)3933331 035 $a(DE-599)2806694-7 035 $a(EXLCZ)993830000000000012 100 $a20150217a20159999 o-- a 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSTAR: Science and technology of archaeological research 210 1$a[Philadelphia, PA] :$cManey Online,$d2015- 215 $a1 online resource 300 $aRefereed/Peer-reviewed 517 1 $aSTAR 606 $aArchaeology$xResearch$vPeriodicals 606 $aArchaeology$xResearch$2fast$3(OCoLC)fst00812982 606 $aArqueologia$2thub 606 $aInvestigació$2thub 608 $aPeriodicals.$2fast 608 $aRevistes electròniques.$2thub 615 0$aArchaeology$xResearch 615 7$aArchaeology$xResearch. 615 7$aArqueologia. 615 7$aInvestigació. 712 02$aSociety for Archaeological Sciences (U.S.), 906 $aJOURNAL 912 $a9910134821803321 996 $aSTAR: Science and technology of archaeological research$92223067 997 $aUNINA LEADER 03637nam 22005775 450 001 9911039319703321 005 20251107114906.0 010 $a9783032039897$b(electronic bk.) 010 $z9783032039880 024 7 $a10.1007/978-3-032-03989-7 035 $a(MiAaPQ)EBC32405110 035 $a(Au-PeEL)EBL32405110 035 $a(CKB)42032179700041 035 $a(DE-He213)978-3-032-03989-7 035 $a(OCoLC)1550212359 035 $a(EXLCZ)9942032179700041 100 $a20251107d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalog Current-Mode Computational Circuits for Artificial Neural Networks /$fby Cosmin Radu Popa 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (233 pages) 225 1 $aAnalog Circuits and Signal Processing,$x2197-1854 311 08$aPrint version: Popa, Cosmin Radu Analog Current-Mode Computational Circuits for Artificial Neural Networks Cham : Springer,c2025 9783032039880 327 $aIntroduction -- Superior-order approximation functions for generating sigmoidal activation functions -- Superior-order approximation functions for generating radial basis activation functions -- Superior-order approximation functions for artificial neural networks applications -- Analysis and design of analog function synthesizers for implmenting sigmoidal activation functions -- Analysis and design of analog function synthesizers for generating radial basis activation functions -- Analysis and design of analog function synthesizers for artificial neural networks applications -- Low-voltage low-power current-mode CMOS computational circuits for implementing activation functions -- Conclusions. 330 $aThis book discusses in detail low-voltage low-power designs for minimizing the hardware resources required by neural network implementations. The novel method presented in this book for an accurate realization of activation functions for artificial neural networks (ANNs), is based on specific superior-order approximation functions. The author describes analog implementations in CMOS technology to increase the speed of operation, while reducing the hardware resources required for obtaining these approximation functions. Original architectures presented in this book, used for implementing previous CMOS computational structures, allow for operation independent of technological errors and temperature variations. SPICE simulations confirm the theoretically estimated results for previously presented CMOS computational structures, developed for ANNs and artificial intelligence applications. 410 0$aAnalog Circuits and Signal Processing,$x2197-1854 606 $aElectronic circuit design 606 $aEmbedded computer systems 606 $aCooperating objects (Computer systems) 606 $aElectronics Design and Verification 606 $aEmbedded Systems 606 $aCyber-Physical Systems 615 0$aElectronic circuit design. 615 0$aEmbedded computer systems. 615 0$aCooperating objects (Computer systems) 615 14$aElectronics Design and Verification. 615 24$aEmbedded Systems. 615 24$aCyber-Physical Systems. 676 $a621.3815 700 $aPopa$b Cosmin Radu$01061259 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911039319703321 996 $aAnalog Current-Mode Computational Circuits for Artificial Neural Networks$94454516 997 $aUNINA