Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey

Deep neural networks (DNN) have remarkably progressed in applications involving large and complex datasets but have been criticized as a black-box. This downside has recently become a motivation for the research community to pursue the ideas of hybrid approaches, resulting in novel hybrid systems cl...

Descripción completa

Detalles Bibliográficos
Autores principales: Talpur, Noureen, Abdulkadir, Said Jadid, Alhussian, Hitham, Hasan, Mohd Hilmi, Aziz, Norshakirah, Bamhdi, Alwi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005344/
https://www.ncbi.nlm.nih.gov/pubmed/35431395
http://dx.doi.org/10.1007/s10462-022-10188-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005344/
https://www.ncbi.nlm.nih.gov/pubmed/35431395
http://dx.doi.org/10.1007/s10462-022-10188-3

Ejemplares similares