activity
20182022
collaborators

5 papers

physics.comp-ph2022

Performance enhancement of a spin-wave-based reservoir computing system utilizing different physical conditions

Ryosho Nakane, Akira Hirose, Gouhei Tanaka

The authors have numerically studied how to enhance reservoir computing performance by thoroughly extracting their spin-wave device potential for higher-dimensional information gen…

cs.ET2021

A numerical exploration of signal detector arrangement in a spin-wave reservoir computing device

Takehiro Ichimura, Ryosho Nakane, Gouhei Tanaka +1

This paper studies numerically how the signal detector arrangement influences the performance of reservoir computing using spin waves excited in a ferrimagnetic garnet film. This i…

physics.app-ph2021

Spin waves propagating through a stripe magnetic domain structure and their applications to reservoir computing

Ryosho Nakane, Akira Hirose, Gouhei Tanaka

Spin waves propagating through a stripe domain structure and reservoir computing with their spin dynamics have been numerically studied with focusing on the relation between physic…

physics.soc-ph2019

Intervention Threshold for Epidemic Control in Susceptible-Infected-Recovered Metapopulation Models

Akari Matsuki, Gouhei Tanaka

Metapopulation epidemic models describe epidemic dynamics in networks of spatially distant patches connected with pathways for migration of individuals. In the present study, we de…

cs.ET2018

Recent Advances in Physical Reservoir Computing: A Review

Gouhei Tanaka, Toshiyuki Yamane, Jean Benoit Héroux +6

Reservoir computing is a computational framework suited for temporal/sequential data processing. It is derived from several recurrent neural network models, including echo state ne…