Parallel model of online sequential extreme learning machines for classification problems with large-scale databases

Nowadays, the sizes of databases in real-world applications are around TeraByte or PetaByte. Therefore, training neural networks in reasonable times is challenging and requires high-cost computational architectures. OS-ELM is a variant of ELM, proposed for real-world applications. This algorithm al...

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Detalles Bibliográficos
Autores principales: Gelvez-Almeida, Elkin, Barrientos, Ricardo J., Vilches-Ponce, Karina, Mora, Marco
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2023
Materias:
Ciencias Informáticas
Parallel computing
High performance computing
Extreme learning machine
Fingerprint classification
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/155423
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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