Rule Extraction Based on Extreme Learning Machine and an Improved Ant-Miner Algorithm for Transient Stability Assessment

In order to overcome the problems of poor understandability of the pattern recognition-based transient stability assessment (PRTSA) methods, a new rule extraction method based on extreme learning machine (ELM) and an improved Ant-miner (IAM) algorithm is presented in this paper. First, the basic pri...

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Detalles Bibliográficos
Autores principales: Li, Yang, Li, Guoqing, Wang, Zhenhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4475017/
https://www.ncbi.nlm.nih.gov/pubmed/26091524
http://dx.doi.org/10.1371/journal.pone.0130814

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4475017/
https://www.ncbi.nlm.nih.gov/pubmed/26091524
http://dx.doi.org/10.1371/journal.pone.0130814

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