An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis

In this study, a new predictive framework is proposed by integrating an improved grey wolf optimization (IGWO) and kernel extreme learning machine (KELM), termed as IGWO-KELM, for medical diagnosis. The proposed IGWO feature selection approach is used for the purpose of finding the optimal feature s...

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Detalles Bibliográficos
Autores principales: Li, Qiang, Chen, Huiling, Huang, Hui, Zhao, Xuehua, Cai, ZhenNao, Tong, Changfei, Liu, Wenbin, Tian, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299219/
https://www.ncbi.nlm.nih.gov/pubmed/28246543
http://dx.doi.org/10.1155/2017/9512741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299219/
https://www.ncbi.nlm.nih.gov/pubmed/28246543
http://dx.doi.org/10.1155/2017/9512741

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