Analog circuits diagnosis based on support vector machine with parameter optimization by improved NKCGWO

Ping Song, Lishun Chen, Kailong Cai, Tianhe Jiang

Open source

DOI: 10.21203/rs.3.rs-1960290/v1
Published: 2022-08-26
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Publisher: Research Square Platform LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-1960290/v1,
  title = {Analog circuits diagnosis based on support vector machine with parameter optimization by improved NKCGWO},
  author = {Ping Song and Lishun Chen and Kailong Cai and Tianhe Jiang},
  year = {2022},
  doi = {10.21203/rs.3.rs-1960290/v1},
  url = {https://doi.org/10.21203/rs.3.rs-1960290/v1}
}

RIS

TY  - JOUR
TI  - Analog circuits diagnosis based on support vector machine with parameter optimization by improved NKCGWO
AU  - Ping Song
AU  - Lishun Chen
AU  - Kailong Cai
AU  - Tianhe Jiang
PY  - 2022
DO  - 10.21203/rs.3.rs-1960290/v1
UR  - https://doi.org/10.21203/rs.3.rs-1960290/v1
ER  -

APA

Song, P., Chen, L., Cai, K., & Jiang, T. (2022). Analog circuits diagnosis based on support vector machine with parameter optimization by improved NKCGWO. https://doi.org/10.21203/rs.3.rs-1960290/v1

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crossref · retrieved 2026-09-25T22:50:25.576Z