OPAC

Artificial Neural Networks and Machine Learning – ICANN 2022 : 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
(Lecture Notes in Computer Science. ISSN:16113349 ; 13529)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
大きさ	XXII, 761 p. 23 illus : online resource
著者標目	Pimenidis, Elias editor Angelov, Plamen editor Jayne, Chrisina editor Papaleonidas, Antonios editor Aydin, Mehmet editor SpringerLink (Online service)

URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001251	Computer Scinece R0 2005-6,2022-3				9783031159190

一般注記	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 Chapter “Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping ” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com HTTP:URL=https://doi.org/10.1007/978-3-031-15919-0
件　名	LCSH:Artificial intelligence LCSH:Application software LCSH:Computers LCSH:Computer engineering LCSH:Computer networks FREE:Artificial Intelligence FREE:Computer and Information Systems Applications FREE:Computing Milieux FREE:Computer Engineering and Networks FREE:Computer Engineering and Networks
分　類	LCC:Q334-342 LCC:TA347.A78 DC23:006.3
書誌ID	EB00000639
ISBN	9783031159190