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These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.
These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.
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.
Offers novel multidisciplinary viewpoints on photonic neural networks
Covers both mathematical models and physical implementation of photonic neural networks
This book is open access, which means that you have free and unlimited access
Written by experts in nonlinear mathematical science, information photonics & integrated systems engineering
Revival of Optical Computing.- Nonlinear Dynamics of Recurrent Neural Networks for Computing.- Fluorescence Energy Transfer Computing.- Quantum-Dot Based Photonic Reservoir Computing.- Exploring Integrated Device Implementation for FRET-based Optical Reservoir Computing.- FRET Networks.- Quantum Walk on FRET Networks.- Spatial photonic Ising machine with time/space division multiplexing.- Computing using Oscillatory Phenomena.- Sampling-like Dynamics of the Nonlinear Dynamical System Combined with Optimization.- Reservoir Computing Based on Iterative Function Systems.- Bridging the Gap between Reservoirs and Neural Networks.- Brain-Inspired Reservoir Computing Models.
Erscheinungsjahr: | 2023 |
---|---|
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
viii
278 S. 20 s/w Illustr. 108 farbige Illustr. 278 p. 128 illus. 108 illus. in color. |
ISBN-13: | 9789819950744 |
ISBN-10: | 9819950740 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Redaktion: |
Suzuki, Hideyuki
Hashimoto, Masanori Tanida, Jun |
Herausgeber: | Hideyuki Suzuki/Jun Tanida/Masanori Hashimoto |
Auflage: | 1st ed. 2024 |
Hersteller: |
Springer Singapore
Springer Nature Singapore |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 15 mm |
Von/Mit: | Hideyuki Suzuki (u. a.) |
Erscheinungsdatum: | 17.10.2023 |
Gewicht: | 0,493 kg |
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.
Offers novel multidisciplinary viewpoints on photonic neural networks
Covers both mathematical models and physical implementation of photonic neural networks
This book is open access, which means that you have free and unlimited access
Written by experts in nonlinear mathematical science, information photonics & integrated systems engineering
Revival of Optical Computing.- Nonlinear Dynamics of Recurrent Neural Networks for Computing.- Fluorescence Energy Transfer Computing.- Quantum-Dot Based Photonic Reservoir Computing.- Exploring Integrated Device Implementation for FRET-based Optical Reservoir Computing.- FRET Networks.- Quantum Walk on FRET Networks.- Spatial photonic Ising machine with time/space division multiplexing.- Computing using Oscillatory Phenomena.- Sampling-like Dynamics of the Nonlinear Dynamical System Combined with Optimization.- Reservoir Computing Based on Iterative Function Systems.- Bridging the Gap between Reservoirs and Neural Networks.- Brain-Inspired Reservoir Computing Models.
Erscheinungsjahr: | 2023 |
---|---|
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
viii
278 S. 20 s/w Illustr. 108 farbige Illustr. 278 p. 128 illus. 108 illus. in color. |
ISBN-13: | 9789819950744 |
ISBN-10: | 9819950740 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Redaktion: |
Suzuki, Hideyuki
Hashimoto, Masanori Tanida, Jun |
Herausgeber: | Hideyuki Suzuki/Jun Tanida/Masanori Hashimoto |
Auflage: | 1st ed. 2024 |
Hersteller: |
Springer Singapore
Springer Nature Singapore |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 15 mm |
Von/Mit: | Hideyuki Suzuki (u. a.) |
Erscheinungsdatum: | 17.10.2023 |
Gewicht: | 0,493 kg |