Memristor-based echo state network for ECG classification: optimizing accuracy and efficiency with different architectures.

Ansari MS, Soni S, Nehete H, Kaurav P

DOI: 10.1007/s11571-026-10537-w
Published: 2026 Dec
Container: Cognitive neurodynamics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s11571-026-10537-w,
  title = {Memristor-based echo state network for ECG classification: optimizing accuracy and efficiency with different architectures.},
  author = {Ansari MS and Soni S and Nehete H and Kaurav P},
  year = {2026},
  journal = {Cognitive neurodynamics},
  doi = {10.1007/s11571-026-10537-w},
  url = {https://doi.org/10.1007/s11571-026-10537-w}
}

RIS

TY  - JOUR
TI  - Memristor-based echo state network for ECG classification: optimizing accuracy and efficiency with different architectures.
AU  - Ansari MS
AU  - Soni S
AU  - Nehete H
AU  - Kaurav P
PY  - 2026
JO  - Cognitive neurodynamics
DO  - 10.1007/s11571-026-10537-w
UR  - https://doi.org/10.1007/s11571-026-10537-w
ER  -

APA

MS, A., S, S., H, N., & P, K. (2026). Memristor-based echo state network for ECG classification: optimizing accuracy and efficiency with different architectures.. Cognitive neurodynamics. https://doi.org/10.1007/s11571-026-10537-w

Source records

pubmed · retrieved 2026-09-25T17:49:10.009Z