LEADER 01177nam--2200409---45-- 001 990000600240203316 005 20050225154021.0 035 $a0060024 035 $aUSA010060024 035 $a(ALEPH)000060024USA01 035 $a0060024 100 $a20050225h----1993km-y0ITAy0103-------ba 101 1 $aita 102 $aIT 200 1 $aCastelli del Trentino$d[Castles of the Trentino]$dBurgen in Trentino$fFulvio Faganello 210 $aIvrea$cFriuli & Verlucca$h1993 215 $a1 v.$cill.$d35 cm 225 1 $aI grandi libri 300 $aIn custodia 410 $12001$aI grandi libri 454 $12001 606 $aCastelli$yTrentino 676 $a914.5385 700 1$aFAGANELLO,$bFlavio$0547211 701 1$aFESTI,$bRoberto$0547212 801 0$aIT$bsalbc$gISBD 912 $a990000600240203316 951 $aIII.1. 346(I A 570)$b148734 LM$cI A 959 $aBK 969 $aUMA 979 $a 979 $aPATTY$b90$c20010830$lUSA01$h1142 979 $c20020403$lUSA01$h1709 979 $aPATRY$b90$c20040406$lUSA01$h1642 979 $aCOPAT2$b90$c20050225$lUSA01$h1540 996 $aCastelli del Trentino$9882318 997 $aUNISA LEADER 00984nam a2200241 i 4500 001 991000870619707536 008 100929s2009 us a b 001 0 eng 020 $a9780521756013 035 $ab13924679-39ule_inst 040 $aDip.to Filologia Class. e Scienze Filosofiche$bita 082 00$a700.9 100 1 $aSquire, Michael$0473630 245 10$aImage and text in Graeco-Roman antiquity /$cMichael Squire 260 $aNew York [etc.] :$bCambridge University Press,$c2009 300 $aXXVI, 516 p. :$bill. ;$c26 cm 504 $aContiene riferimenti bibliografici . Indice 650 04$aLetteratura e arte$xStoria$yAntichitą 907 $a.b13924679$b02-04-14$c29-09-10 912 $a991000870619707536 945 $aLE007 700 SQU 01.01$g1$i2007000206294$lle007$nLE007 2011 Capasso$op$pE86.65$q-$rl$s- $t0$u1$v0$w1$x0$y.i1523857x$z09-03-11 996 $aImage and text in Graeco-Roman antiquity$9249639 997 $aUNISALENTO 998 $ale007$b29-09-10$cm$da $e-$feng$gus $h0$i0 LEADER 03217nam 2200553 450 001 9910814796403321 005 20230124195315.0 010 $a3-11-044967-6 024 7 $a10.1515/9783110450293 035 $a(CKB)4100000001502389 035 $a(DE-B1597)458186 035 $a(OCoLC)1020032690 035 $a(DE-B1597)9783110450293 035 $a(Au-PeEL)EBL5158279 035 $a(CaPaEBR)ebr11497598 035 $a(CaSebORM)9783110449679 035 $a(MiAaPQ)EBC5158279 035 $a(EXLCZ)994100000001502389 100 $a20180206h20182018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aBlind equalization in neural networks $etheory, algorithms and applications /$fLiyi Zhang [and three others] 210 1$aBerlin, [Germany] ;$aBoston, [Massachusetts] :$cDe Gruyter :$cTsinghua University Press,$d2018. 210 4$d©2018 215 $a1 online resource (268 pages) $cillustrations 311 $a3-11-044962-5 311 $a3-11-045029-1 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tPreface -- $tContents -- $t1. Introduction -- $t2. The Fundamental Theory of Neural Network Blind Equalization Algorithm -- $t3. Research of Blind Equalization Algorithms Based on FFNN -- $t4. Research of Blind Equalization Algorithms Based on the FBNN -- $t5. Research of Blind Equalization Algorithms Based on FNN -- $t6. Blind Equalization Algorithm Based on Evolutionary Neural Network -- $t7. Blind equalization Algorithm Based on Wavelet Neural Network -- $t8. Application of Neural Network Blind Equalization Algorithm in Medical Image Processing -- $tAppendix A: Derivation of the Hidden Layer Weight Iterative Formula in the Blind Equalization Algorithm Based on the Complex Three-Layer FFNN -- $tAppendix B: Iterative Formulas Derivation of Complex Blind Equalization Algorithm Based on BRNN -- $tAppendix C: Types of Fuzzy Membership Function -- $tAppendix D: Iterative Formula Derivation of Blind Equalization Algorithm Based on DRFNN -- $tReferences -- $tIndex 330 $aThe book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists. 606 $aNeural networks (Computer science)$vCongresses 606 $aNeural networks (Computer science)$xScientific applications 606 $aNeural networks (Computer science) 615 0$aNeural networks (Computer science) 615 0$aNeural networks (Computer science)$xScientific applications. 615 0$aNeural networks (Computer science) 676 $a006.32 700 $aZhang$b Liyi$01718393 702 $aZhang$b Liyi 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910814796403321 996 $aBlind equalization in neural networks$94115312 997 $aUNINA