[WP-G] Poster Session 2

[WP-G-9] Scalable Reservoir Computing Connected via Tapped Delay Lines and Its Application to Nonlinear Equalization in Optical Transmission Systems

○Soya Shimomura¹, Kai Ikuta¹, Yuta Ito¹, Tsuyoshi Yamada¹, Takumi Yamamoto¹, Shunya Uchide¹, Moriya Nakamura¹ (1.Meiji University)

Keywords:

Artificial intelligence and machine learning for optical transmission systems and subsystems

We propose a scalable reservoir computing (RC) configuration that connects small RC modules in parallel using tapped delay lines. Our investigation demonstrates improved delay characteristics for nonlinear equalization in optical transmission systems.