소장자료
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020 | ▼a9783031159190▼9978-3-031-15919-0▲ | ||
024 | 7 | ▼a10.1007/978-3-031-15919-0▼2doi▲ | |
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245 | 1 | 0 | ▼aArtificial Neural Networks and Machine Learning – ICANN 2022▼h[electronic resource] :▼b31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I /▼cedited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin.▲ |
250 | ▼a1st ed. 2022.▲ | ||
264 | 1 | ▼aCham :▼bSpringer International Publishing :▼bImprint: Springer,▼c2022.▲ | |
300 | ▼aXXII, 761 p. 242 illus., 219 illus. in color.▼bonline resource.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼acomputer▼bc▼2rdamedia▲ | ||
338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
347 | ▼atext file▼bPDF▼2rda▲ | ||
490 | 1 | ▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v13529▲ | |
505 | 0 | ▼aDeep Learning -- , Neural Network Theory -- Relational Learning, Reinforcement Learning -- Natural language processing, Generative Models -- Graphical Models, Recommender Systems -- Image Processing, Recurrent Networks -- Evolutionary Neural Networks -- Unsupervised Neural Networks -- Neural Network Models.▲ | |
520 | ▼aThe 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.▲ | ||
650 | 0 | ▼aArtificial intelligence.▲ | |
650 | 0 | ▼aApplication software.▲ | |
650 | 0 | ▼aComputers.▲ | |
650 | 0 | ▼aComputer engineering.▲ | |
650 | 0 | ▼aComputer networks .▲ | |
650 | 1 | 4 | ▼aArtificial Intelligence.▲ |
650 | 2 | 4 | ▼aComputer and Information Systems Applications.▲ |
650 | 2 | 4 | ▼aComputing Milieux.▲ |
650 | 2 | 4 | ▼aComputer Engineering and Networks.▲ |
650 | 2 | 4 | ▼aComputer Engineering and Networks.▲ |
700 | 1 | ▼aPimenidis, Elias.▼eeditor.▼0(orcid)0000-0003-3593-8640▼1https://orcid.org/0000-0003-3593-8640▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aAngelov, Plamen.▼eeditor.▼0(orcid)0000-0002-5770-934X▼1https://orcid.org/0000-0002-5770-934X▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aJayne, Chrisina.▼eeditor.▼0(orcid)0000-0001-7292-2109▼1https://orcid.org/0000-0001-7292-2109▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aPapaleonidas, Antonios.▼eeditor.▼0(orcid)0000-0002-0545-7638▼1https://orcid.org/0000-0002-0545-7638▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aAydin, Mehmet.▼eeditor.▼0(orcid)0000-0002-4890-5648▼1https://orcid.org/0000-0002-4890-5648▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
710 | 2 | ▼aSpringerLink (Online service)▲ | |
773 | 0 | ▼tSpringer Nature eBook▲ | |
776 | 0 | 8 | ▼iPrinted edition:▼z9783031159183▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9783031159206▲ |
830 | 0 | ▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v13529▲ | |
856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-3-031-15919-0▲ |
Artificial Neural Networks and Machine Learning – ICANN 2022[electronic resource] : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I
자료유형
국외eBook
서명/책임사항
Artificial Neural Networks and Machine Learning – ICANN 2022 [electronic resource] : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I / edited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin.
판사항
1st ed. 2022.
형태사항
XXII, 761 p. 242 illus., 219 illus. in color. online resource.
총서사항
Lecture Notes in Computer Science , 1611-3349 ; 13529
Lecture Notes in Computer Science , 1611-3349 ; 13529
Lecture Notes in Computer Science , 1611-3349 ; 13529
내용주기
Deep Learning -- , Neural Network Theory -- Relational Learning, Reinforcement Learning -- Natural language processing, Generative Models -- Graphical Models, Recommender Systems -- Image Processing, Recurrent Networks -- Evolutionary Neural Networks -- Unsupervised Neural Networks -- Neural Network Models.
요약주기
The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.
주제
ISBN
9783031159190
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