Advances in neural networks - ISNN 2020 : 17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4-6, 2020, proceedings / Min Han, Sitian Qin, Nian Zhang (eds.).

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Ente Autore: International Symposium on Neural Networks Cairo, Egypt
Altri autori: Han, Min (Redattore), Qin, Sitian (Redattore), Zhang, Nian (Redattore)
Natura: eBook
Lingua:English
Pubblicazione: Cham : Springer, [2020]
Serie:Lecture notes in computer science ; 12557.
LNCS sublibrary. Theoretical computer science and general issues.
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Accesso online:Click for online access
Descrizione
Riassunto:This volume LNCS 12557 constitutes the refereed proceedings of the 17th International Symposium on Neural Networks, ISNN 2020, held in Cairo, Egypt, in December 2020. The 24 papers presented in the two volumes were carefully reviewed and selected from 39 submissions. The papers were organized in topical sections named: optimization algorithms; neurodynamics, complex systems, and chaos; supervised/unsupervised/reinforcement learning/deep learning; models, methods and algorithms; and signal, image and video processing.
Descrizione del documento:International conference proceedings.
"This volume of Lecture notes in computer science (LNCS) constitutes the proceedings of the 17th International Symposium on Neural Networks (ISNN 2020), held during December 4-5, 2020, in Cairo, Egypt, and over the Internet"--Preface
Includes author index.
Descrizione fisica:1 online resource (289 pages)
ISBN:9783030642211
3030642216
Source of Description, Etc. Note:Print version record.