LEADER 03492oam 22005175 450 001 996552463903316 005 20231031225051.0 010 $a3-031-43078-6 024 7 $a10.1007/978-3-031-43078-7 035 $a(MiAaPQ)EBC30765472 035 $a(Au-PeEL)EBL30765472 035 $a(DE-He213)978-3-031-43078-7 035 $a(PPN)272734187 035 $a(EXLCZ)9928444248900041 100 $a20230930d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in computational intelligence $e17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19?21, 2023, Proceedings$hPart II /$fedited by Ignacio Rojas, Gonzalo Joya, Andreu Catala 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (xxiv, 669 pages) $cillustrations (some color) 225 1 $aLecture Notes in Computer Science,$x1611-3349 311 08$aPrint version: Rojas, Ignacio Advances in Computational Intelligence Cham : Springer,c2023 9783031430770 327 $aDeep Learning and Applications -- Deep Learning Applied to Computer Vision and Robotics -- General Applications of Artificial Intelligence -- Interaction with Neural Systems in Both Health and Disease -- Machine Learning for 4.0 Industry Solutions -- Neural Networks in Chemistry and Material Characterization -- Ordinal Classification -- Real World Applications of BCI Systems -- and Spiking Neural Networks: Applications and Algorithms. 330 $aThis two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19?21, 2023. The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions. The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14135 606 $aComputational intelligence$vCongresses 606 $aNeural networks (Computer science)$vCongresses 615 0$aComputational intelligence 615 0$aNeural networks (Computer science) 676 $a570.285 676 $a570.113 701 $aRojas$b Ignacio$01299449 701 $aJoya$b Gonzalo$01430866 701 $aCatala$b Andreu$01430867 712 12$aInternational Work-Conference on Artificial Neural Networks. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996552463903316 996 $aAdvances in Computational Intelligence$93570866 997 $aUNISA