Towards Optimizing Physical Reservoir Computing: A Hybrid PCPO-ESN Framework for Time Series Forecasting

Dinda Pramanta, Ninnart Fuengfusin, Arie Rachmad Syulistyo, Hakaru Tamukoh. Towards Optimizing Physical Reservoir Computing: A Hybrid PCPO-ESN Framework for Time Series Forecasting. In IEEE International Symposium on Circuits and Systems, ISCAS 2025, London, United Kingdom, May 25-28, 2025. pages 1-5, IEEE, 2025. [doi]

@inproceedings{PramantaFST25,
  title = {Towards Optimizing Physical Reservoir Computing: A Hybrid PCPO-ESN Framework for Time Series Forecasting},
  author = {Dinda Pramanta and Ninnart Fuengfusin and Arie Rachmad Syulistyo and Hakaru Tamukoh},
  year = {2025},
  doi = {10.1109/ISCAS56072.2025.11044145},
  url = {https://doi.org/10.1109/ISCAS56072.2025.11044145},
  researchr = {https://researchr.org/publication/PramantaFST25},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {IEEE International Symposium on Circuits and Systems, ISCAS 2025, London, United Kingdom, May 25-28, 2025},
  publisher = {IEEE},
  isbn = {979-8-3503-5683-0},
}