LEADER 01175nam 2200313Ia 450 001 996396826103316 005 20221108065349.0 035 $a(CKB)4330000000348583 035 $a(EEBO)2248529795 035 $a(OCoLC)45578407 035 $a(EXLCZ)994330000000348583 100 $a20001215d1698 uy 0 101 0 $aeng 135 $aurbn||||a|bb| 200 12$aA sermon preached before the religious societies in St. Michael's Church Dublin$b[electronic resource] $eSeptember the 25th. 1698. /$fby Thomas Pollard .. 210 $aDublin: $cPrinted, by and for Joseph Ray, bookseller in Skinner-row over against the Tholsel$dM DC XC VIII. [1698] 215 $a[4], 15 p 300 $aReproduction of original in the Trinity College Library (Dublin, Ireland). 330 $aeebo-0159 606 $aSermons, English$y17th century 608 $aBroadsides$zEngland$y17th century.$2rbgenr 615 0$aSermons, English 700 $aPollard$b Thomas$0315584 801 0$bEAE 801 1$bEAE 906 $aBOOK 912 $a996396826103316 996 $aA sermon preached before the religious societies in St. Michael's Church Dublin$92299482 997 $aUNISA 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 $aThis book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as feed forward neural networks, radial basis function networks, as well as recurrent neural networks and multi-later perceptron. Most of the challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also demonstrates the application of the proposed algorithms for several purposes such as classification, clustering, approximation, and prediction problems. It provides a tutorial on how to design, adapt, and evaluate artificial neural networks as well, and includes source codes for most of the proposed techniques as supplementary materials. . 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v780 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aNeural networks (Computer science) 606 $aComputer simulation 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aMathematical Models of Cognitive Processes and Neural Networks 606 $aComputer Modelling 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aNeural networks (Computer science) 615 0$aComputer simulation. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aComputer Modelling. 676 $a006.32 700 $aMirjalili$b Seyedali$4aut$4http://id.loc.gov/vocabulary/relators/aut$01221964 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484477803321 996 $aEvolutionary Algorithms and Neural Networks$92833725 997 $aUNINA