3 papers
cs.AR2025
Fast Parameter Optimization of Delayed Feedback Reservoir with Backpropagation and Gradient Descent
Sosei Ikeda, Hiromitsu Awano, Takashi Sato
A delayed feedback reservoir (DFR) is a reservoir computing system well-suited for hardware implementations. However, achieving high accuracy in DFRs depends heavily on selecting a…
cs.LG2025
Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification
Sosei Ikeda, Hiromitsu Awano, Takashi Sato
Reservoir computing (RC) is attracting attention as a machine-learning technique for edge computing. In time-series classification tasks, the number of features obtained using a re…
cs.AR2025
Online Training and Inference System on Edge FPGA Using Delayed Feedback Reservoir
Sosei Ikeda, Hiromitsu Awano, Takashi Sato
A delayed feedback reservoir (DFR) is a hardwarefriendly reservoir computing system. Implementing DFRs in embedded hardware requires efficient online training. However, two main ch…