FoSSA Optimization-Based SVM Classifier for the Recognition of Partial Discharge Patterns in HV Cables

In order to enhance the classification accuracy and the generalization performance of the SVM classifier in cable partial discharge (PD) pattern recognition, a firefly optimized sparrow search algorithm (FoSSA) is proposed to optimize its kernel function parameters and penalty factors. First, the Ci...

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Detalles Bibliográficos
Autores principales: Sun, Kang, Meng, Yuxuan, Dong, Shuchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975699/
https://www.ncbi.nlm.nih.gov/pubmed/35371249
http://dx.doi.org/10.1155/2022/7566731

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975699/
https://www.ncbi.nlm.nih.gov/pubmed/35371249
http://dx.doi.org/10.1155/2022/7566731

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