Uncertainty handling in convolutional neural networks

The performance of convolutional neural networks is degraded by noisy data, especially in the test phase. To address this challenge, a new convolutional neural network structure with data indeterminacy handling in the neutrosophic (NS) domain, named as Neutrosophic Convolutional Neural Networks, is...

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Detalles Bibliográficos
Autores principales: Rashno, Elyas, Akbari, Ahmad, Nasersharif, Babak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206226/
https://www.ncbi.nlm.nih.gov/pubmed/35756151
http://dx.doi.org/10.1007/s00521-022-07313-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206226/
https://www.ncbi.nlm.nih.gov/pubmed/35756151
http://dx.doi.org/10.1007/s00521-022-07313-2

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