LEADER 02006nam 2200565 a 450 001 9910779776303321 005 20230124184004.0 010 $a1-62257-103-7 035 $a(CKB)2550000001043311 035 $a(EBL)3021387 035 $a(SSID)ssj0000880417 035 $a(PQKBManifestationID)12428830 035 $a(PQKBTitleCode)TC0000880417 035 $a(PQKBWorkID)10895997 035 $a(PQKB)10699939 035 $a(MiAaPQ)EBC3021387 035 $a(Au-PeEL)EBL3021387 035 $a(CaPaEBR)ebr10683045 035 $a(OCoLC)839886484 035 $a(EXLCZ)992550000001043311 100 $a20110225d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial neural network training and software implementation techniques$b[electronic resource] /$fAli Kattan, Rosni Abdullah and Zong Woo Geem 210 $aHauppauge, N.Y. $cNova Science Publishers$dc2011 215 $a1 online resource (68 p.) 225 1 $aComputer networks 225 1 $aNovinka 300 $aDescription based upon print version of record. 311 $a1-61122-990-1 320 $aIncludes bibliographical references (p.[43]-53) and index. 327 $aFeed-forward neural networks -- FFANN software simulation -- FFANN training concept -- Trajectory-driven training paradigm -- Evolutionary-based training paradigm -- FFANN simulation utilizing graphic-processing units. 410 0$aComputer networks series. 410 0$aNovinka. 606 $aNeural networks (Computer science) 615 0$aNeural networks (Computer science) 676 $a006.3/2 700 $aKattan$b Ali$01547790 701 $aAbdullah$b Rosni$01547791 701 $aGeem$b Zong Woo$01133777 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910779776303321 996 $aArtificial neural network training and software implementation techniques$93804333 997 $aUNINA