LEADER 04080nam 22005895 450 001 9910254218403321 005 20200706200800.0 010 $a3-319-33747-5 024 7 $a10.1007/978-3-319-33747-0 035 $a(CKB)3710000000732204 035 $a(EBL)4560580 035 $a(DE-He213)978-3-319-33747-0 035 $a(MiAaPQ)EBC4560580 035 $a(PPN)194379450 035 $a(EXLCZ)993710000000732204 100 $a20160618d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Neural Networks $eComputational Intelligence for ICT /$fedited by Simone Bassis, Anna Esposito, Francesco Carlo Morabito, Eros Pasero 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (525 p.) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v54 300 $aDescription based upon print version of record. 311 $a3-319-33746-7 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aI Introductory chapter -- II Machine Learning -- III Articial Neural Networks: Algorithms and Models -- IV Computational Intelligence Methods for Biomedical ICT in Neurological Diseases -- V Neural Networks-based Approaches to Industrial Processes -- VI Intelligent Cyber-physical and Embedded Systems -- VII Recongurable- Modular- Adaptive- smart Robotic Systems for Optoelectronics Industry: The White'R Instantiation. 330 $aThis carefully edited book is putting emphasis on computational and artificial intelligent methods for learning and their relative applications in robotics, embedded systems, and ICT interfaces for psychological and neurological diseases. The book is a follow-up of the scientific workshop on Neural Networks (WIRN 2015) held in Vietri sul Mare, Italy, from the 20th to the 22nd of May 2015. The workshop, at its 27th edition became a traditional scientific event that brought together scientists from many countries, and several scientific disciplines. Each chapter is an extended version of the original contribution presented at the workshop, and together with the reviewers? peer revisions it also benefits from the live discussion during the presentation. The content of book is organized in the following sections. 1. Introduction, 2. Machine Learning, 3. Artificial Neural Networks: Algorithms and models, 4. Intelligent Cyberphysical and Embedded System, 5. Computational Intelligence Methods for Biomedical ICT in Neurological Diseases, 6. Neural Networks-Based Approaches to Industrial Processes, 7. Reconfigurable Modular Adaptive Smart Robotic Systems for Optoelectronics Industry: The White'R Instantiation This book is unique in proposing a holistic and multidisciplinary approach to implement autonomous, and complex Human Computer Interfaces. . 410 0$aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v54 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.32 702 $aBassis$b Simone$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEsposito$b Anna$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMorabito$b Francesco Carlo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPasero$b Eros$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254218403321 996 $aAdvances in Neural Networks$91540615 997 $aUNINA