Hybrid Binary Dragonfly Algorithm with Simulated Annealing for Feature Selection

There are various fields are affected by the growth of data dimensionality. The major problems which are resulted from high dimensionality of data including high memory requirements, high computational cost, and low machine learning classifier performance. Therefore, proper selection of relevant fea...

Descripción completa

Detalles Bibliográficos
Autores principales: Chantar, Hamouda, Tubishat, Mohammad, Essgaer, Mansour, Mirjalili, Seyedali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147911/
https://www.ncbi.nlm.nih.gov/pubmed/34056623
http://dx.doi.org/10.1007/s42979-021-00687-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147911/
https://www.ncbi.nlm.nih.gov/pubmed/34056623
http://dx.doi.org/10.1007/s42979-021-00687-5

Ejemplares similares