Photonic Neural Networks with Spatiotemporal Dynamics

Paradigms of Computing and Implementation

, ,

Éditeur :

Springer

Paru le : 2023-10-16

This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mat...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
Gratuit
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos


Éditeur

Collection
n.c

Parution
2023-10-16

Pages
278 pages

EAN papier
9789819950713

Hideyuki Suzuki received the B.S. degree in mathematics, and the M.E. and Ph.D. degrees in mathematical engineering from the University of Tokyo in 1996, 1998 and 2001, respectively. He is currently a Professor in the Graduate School of Information Science and Technology at Osaka University. His current research interests include nonlinear dynamics and its applications. Jun Tanida received the B.E., M.E., and Ph.D. degrees in applied physics from Osaka University in 1981, 1983, and 1986, respectively. He is currently a Professor in the Graduate School of Information Science and Technology at Osaka University. His current research interests include information photonics, computational imaging, and photonic DNA computing. Masanori Hashimoto received the B.E., M.E., and Ph.D. degrees in communications and computer engineering from Kyoto University in 1997, 1999, and 2001, respectively. He is currently a Professor in the Department of Informatics at Kyoto University. His current research interests include the design for manufacturability and reliability, soft error characterization, timing and power integrity analysis, reconfigurable computing, and low-power circuit design.  

Caractéristiques détaillées - droits

EAN PDF
9789819950720
Prix
0,00 €
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
8632 Ko
EAN EPUB
9789819950720
Prix
0,00 €
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
42281 Ko

Suggestions personnalisées