Activation-Function-Dependent Characteristics of Complex-Valued Reservoir-Computing-Based Nonlinear Equalizer for Fiber-Optic Nonlinearity Compensation
We investigated the performance of a CVRC-based nonlinear equalizer designed to compensate for fiber-optic nonlinearity when varying the activation function. The performance tended to deteriorate particularly when using an activation function with discontinuous slope changes.
Authors
- Takumi Yamamoto (ORCID: https://orcid.org/0000-0002-9223-5987)
- Shuichi Shimomura (ORCID: https://orcid.org/0000-0002-6483-2469)
- Moriya Nakamura
- Kai Ikuta (ORCID: https://orcid.org/0000-0002-5978-057X)
- Tsuyoshi Yamada (ORCID: https://orcid.org/0000-0002-3434-224X)
- Yuta Ito
- Shunya Uchide
Institutions
- Meiji University (JP)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11111414
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00