LEADER 01461nam 2200397 450 001 000013593 005 20050718115500.0 100 $a20030522d1970----km-y0itay0103----ba 101 0 $aita 102 $aIT 200 1 $a<> macchine elettriche$fM. Liwschitz 205 $a1. ed. italiana a cura di Carlo Rossi 210 $aMilano$cHoepli 215 $av.$cill.$d25 cm. 327 1 $aParte 1. : Teoria e funzionamento : le leggi fondamentali. - c1970. - XI, 364 p 559 1 $aTeoria e funzionamento 606 $aMacchine elettriche 676 $a621.31042$v(21. ed.)$9Macchine e impianti elettrici 700 1$aLiwschitz,$bMichael$0441310 702 1$aRossi,$bCarlo 801 0$aIT$bUniversità della Basilicata - B.I.A.$gRICA$2unimarc 912 $a000013593 996 $aMacchine elettriche$981509 997 $aUNIBAS BAS $aMONING BAS $aINGEGNERIA CAT $aSTD024$b01$c20030522$lBAS01$h0914 CAT $aTORRE$b20$c20050419$lBAS01$h1627 CAT $aTORRE$b20$c20050419$lBAS01$h1638 CAT $c20050601$lBAS01$h1755 CAT $abatch$b01$c20050718$lBAS01$h1051 CAT $c20050718$lBAS01$h1111 CAT $c20050718$lBAS01$h1141 CAT $c20050718$lBAS01$h1155 FMT Z30 -1$lBAS01$LBAS01$mBOOK$1BASA2$APolo Tecnico-Scientifico$2DID$BDidattica$3PTS.s3.p34.14$657180$5I57180$820030522$b^$c1$eXI, 364$f04$FPrestabile Didattica$hParte 1.: Teoria e funzionamento : le leggi fondamentali.. LEADER 03336nam 22005775 450 001 9911049177003321 005 20260103120408.0 010 $a981-9697-90-5 024 7 $a10.1007/978-981-96-9790-8 035 $a(CKB)44773724900041 035 $a(MiAaPQ)EBC32471787 035 $a(Au-PeEL)EBL32471787 035 $a(OCoLC)1568049205 035 $a(DE-He213)978-981-96-9790-8 035 $a(EXLCZ)9944773724900041 100 $a20260103d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Computing $eConcepts, Principles and Applications /$fby Ruizhuo Song, Qinglai Wei, Qing Li, Shi Xing 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (196 pages) 225 1 $aArtificial Intelligence (R0) Series 311 08$a981-9697-89-1 327 $a"Chapter 1: Introduction" -- "Chapter 2: Evolutionary Computing" -- "Chapter 3: Swarm Intelligence Computing" -- "Chapter 4: Neural Computing" -- "Chapter 5: Machine Learning". 330 $aIntelligent computing is a computational approach primarily inspired by the objective laws governing biological groups in nature, as well as the behaviors of biological thinking and movement. It encompasses various algorithmic fields such as evolutionary computation, swarm intelligence computation, neural computation, and more. These algorithms typically achieve the goals of intelligent computing by simulating the distinctive functions of certain species in nature or specific characteristics of natural phenomena. By programming and executing the collective wisdom of biological groups and leveraging natural laws, optimization algorithms with intelligent essence are designed. This book serves as an introduction to widely used and common intelligent computing methods. It covers fundamental concepts, principles, model characteristics, and typical application examples of various intelligent computing methods. Additionally, it provides the latest examples along with corresponding Matlab or Python codes, facilitating readers in deepening their understanding and reproducing the content. The target audience for this book includes senior undergraduate and graduate students majoring in automation, artificial intelligence, intelligent science and technology, computer science, and related fields. It can also serve as a valuable self-study reference for professionals in computer science, artificial intelligence, and related disciplines. 410 0$aArtificial Intelligence (R0) Series 606 $aArtificial intelligence 606 $aComputer science 606 $aMachine learning 606 $aArtificial Intelligence 606 $aComputer Science 606 $aMachine Learning 615 0$aArtificial intelligence. 615 0$aComputer science. 615 0$aMachine learning. 615 14$aArtificial Intelligence. 615 24$aComputer Science. 615 24$aMachine Learning. 676 $a006.3 700 $aSong$b Ruizhuo$01226674 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911049177003321 996 $aIntelligent Computing$94521450 997 $aUNINA