LEADER 02575nam 2200613 a 450 001 9910510604803321 005 20200520144314.0 010 $a3-642-19125-8 024 7 $a10.1007/978-3-642-19125-1 035 $a(CKB)2670000000064773 035 $a(SSID)ssj0000476128 035 $a(PQKBManifestationID)11288637 035 $a(PQKBTitleCode)TC0000476128 035 $a(PQKBWorkID)10480068 035 $a(PQKB)11077099 035 $a(DE-He213)978-3-642-19125-1 035 $a(MiAaPQ)EBC3066351 035 $a(PPN)149906374 035 $a(Association for Computing Machinery)10.5555/1946341 035 $a(EXLCZ)992670000000064773 100 $a20110103d2011 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEngineering secure software and systems $ethird International Symposium, ESSOS 2011, Madrid, Spain, February 9-10, 2011 : proceedings /$fUlfar Erlingsson, Roel Wieringa, Nicola Zannone (eds.) 205 $a1st ed. 2011. 210 $aNew York $cSpringer$d2011 215 $a1 online resource (XI, 273 p. 69 illus., 21 illus. in color.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v6542 225 1 $aLNCS sublibrary. SL 4, Security and cryptology 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-19124-X 320 $aIncludes bibliographical references and index. 330 $aThis book constitutes the refereed proceedings of the Third International Symposium on Engineering Secure Software and Systems, ESSoS 2011, held in Madrid, Italy, in February 2011. The 18 revised full papers presented together with 3 idea papers were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections on model-based security, tools and mechanisms, Web security, security requirements engineering, and authorization. 410 0$aLecture notes in computer science ;$v6542. 410 0$aLNCS sublibrary.$nSL 4,$pSecurity and cryptology. 606 $aComputer security$vCongresses 606 $aSoftware engineering$vCongresses 615 0$aComputer security 615 0$aSoftware engineering 676 $a005.8 701 $aErlingsson$b Ulfar$0949697 701 $aWieringa$b Roel$0536686 701 $aZannone$b Nicola$01757825 712 12$aESSoS (Symposium) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910510604803321 996 $aEngineering secure software and systems$94200351 997 $aUNINA LEADER 01482nam0 22003613i 450 001 NAP0414095 005 20251003044250.0 010 $a0521645492$bpbk 100 $a20080728d1999 ||||0itac50 ba 101 | $aeng 102 $agb 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aRethinking smart objects$ebuilding artificial intelligence with objects$fDaniel W. Rasmus 210 $aCambridge$cCambridge university press$aNew York$cSIGS Books$d1999 215 $aXI, 244 p.$d23 cm. 225 | $aAdvances in object technology series$v18 410 0$1001UFI0258563$12001 $aAdvances in object technology series$v18 606 $aIntelligenza artificiale$2FIR$3CFIC006750$9E 606 $aElaboratori elettronici$xProgrammazione$2FIR$3CFIC000860$9E 676 $a006.3$9INTELLIGENZA ARTIFICIALE$v14 676 $a006.3$9Metodi speciali di elaborazione. Intelligenza artificiale$v22 696 $aIA 699 $aIntelligenza artificiale$yIA 700 1$aRasmus$b, Daniel W.$3NAPV107506$4070$0770881 801 3$aIT$bIT-000000$c20080728 850 $aIT-BN0095 901 $bNAP 01$cSALA DING $n$ 912 $aNAP0414095 950 0$aBiblioteca Centralizzata di Ateneo$c1 v.$d 01SALA DING 006.3 RAS.re$e 0102 0000034715 VMA A4 1 v.$fY $h20080728$i20080728 977 $a 01 996 $aRethinking smart objects$91573085 997 $aUNISANNIO LEADER 03620nam 22006135 450 001 9910484477803321 005 20251113210701.0 010 $a3-319-93025-7 024 7 $a10.1007/978-3-319-93025-1 035 $a(CKB)3850000000034027 035 $a(DE-He213)978-3-319-93025-1 035 $a(MiAaPQ)EBC5924332 035 $a(PPN)229493726 035 $a(EXLCZ)993850000000034027 100 $a20180626d2019 u| 0 101 0 $aeng 135 $aurnn#---mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvolutionary Algorithms and Neural Networks $eTheory and Applications /$fby Seyedali Mirjalili 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XIV, 156 p. 68 illus., 60 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v780 320 $aIncludes bibliographical references and index. 327 $aPart I: Evolutionary algorithms -- Introduction to Evolutionary Single-objective Optimisation -- Particle Swarm Optimisation -- Ant Colony Optimization -- Genetic Algorithm -- Biogeography-Based Optimization -- Part II: Evolutionary Neural Networks -- Evolutionary Feedforward Neural Networks -- Evolutionary Multi-Layer Perceptron -- Evolutionary Radial Basis Function Networks -- Evolutionary Deep Neural Networks. 330 $aThis book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as feed forward neural networks, radial basis function networks, as well as recurrent neural networks and multi-later perceptron. Most of the challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also demonstrates the application of the proposed algorithms for several purposes such as classification, clustering, approximation, and prediction problems. 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