LEADER 01032nam0 2200301 450 001 000025954 005 20090601114110.0 010 $a88-04-48631-7 100 $a20090601d2001----km-y0itaa50------ba 101 0 $aita 102 $aIT 200 1 $aIo, eccetera$fSusan Sontag$gtraduzione di Stefania Bertola 210 $aMilano$c<> Mondadori$dc2001 215 $a248 p.$d19 cm 225 2 $aScrittori del Novecento$v1756 410 0$12001$aScrittori del Novecento$v1756 500 10$aI, etcetera$923329 676 $a813.54$v(21 ed.)$9Narrativa americana in lingua inglese. 1945-1999 700 1$aSontag,$bSusan$0143853 702 1$aBertola,$bStefania 801 0$aIT$bUniversità della Basilicata - B.I.A.$gRICA$2unimarc 912 $a000025954 996 $aI, etcetera$923329 997 $aUNIBAS BAS $aLETTERE CAT $aMDL$b30$c20090601$lBAS01$h1141 FMT Z30 -1$lBAS01$LBAS01$mBOOK$1BASA1$APolo Storico-Umanistico$2DID$BDidattica$3FP/107929$6107929$5L107929$820090601$f04$FPrestabile Didattica LEADER 03430nam 22005535 450 001 9910350312803321 005 20200705155411.0 010 $a981-13-2640-1 024 7 $a10.1007/978-981-13-2640-0 035 $a(CKB)4100000006674618 035 $a(MiAaPQ)EBC5525855 035 $a(DE-He213)978-981-13-2640-0 035 $a(PPN)230540341 035 $a(EXLCZ)994100000006674618 100 $a20180925d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplications of Artificial Intelligence Techniques in Industry 4.0 /$fby Aydin Azizi 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (70 pages) 225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 311 $a981-13-2639-8 327 $aIntroduction -- Modern Manufacturing -- RFID Network Planning -- Hybrid Artificial Intelligence Optimization Technique -- Implementation. 330 $aThis book is to presents and evaluates a way of modelling and optimizing nonlinear RFID Network Planning (RNP) problems using artificial intelligence techniques. It uses Artificial Neural Network models (ANN) to bind together the computational artificial intelligence algorithm with knowledge representation an efficient artificial intelligence paradigm to model and optimize RFID networks. This effort leads to proposing a novel artificial intelligence algorithm which has been named hybrid artificial intelligence optimization technique to perform optimization of RNP as a hard learning problem. This hybrid optimization technique consists of two different optimization phases. First phase is optimizing RNP by Redundant Antenna Elimination (RAE) algorithm and the second phase which completes RNP optimization process is Ring Probabilistic Logic Neural Networks (RPLNN). The hybrid paradigm is explored using a flexible manufacturing system (FMS) and the results are compared with well-known evolutionary optimization technique namely Genetic Algorithm (GA) to demonstrate the feasibility of the proposed architecture successfully. 410 0$aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 606 $aElectrical engineering 606 $aArtificial intelligence 606 $aEngineering economy 606 $aEngineering economy 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aEngineering Economics, Organization, Logistics, Marketing$3https://scigraph.springernature.com/ontologies/product-market-codes/T22016 615 0$aElectrical engineering. 615 0$aArtificial intelligence. 615 0$aEngineering economy. 615 0$aEngineering economy. 615 14$aCommunications Engineering, Networks. 615 24$aArtificial Intelligence. 615 24$aEngineering Economics, Organization, Logistics, Marketing. 676 $a658.0563 700 $aAzizi$b Aydin$4aut$4http://id.loc.gov/vocabulary/relators/aut$0860939 906 $aBOOK 912 $a9910350312803321 996 $aApplications of Artificial Intelligence Techniques in Industry 4.0$91921309 997 $aUNINA