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Detalhes Referência

Tipo
Artigos em Conferência

Tipo de Documento
Artigo Completo

Título
An Efficient Parallel Yet Pipelined Reconfigurable Architecture for M-PLN Weightless Neural Networks

Participantes na publicação
Felipe P. da Silva (Author)
Alan Oliveria de Sá (Author)
Dep. Informática
Nadia Nedjah (Author)
Luiza de Macedo Mourelle (Author)

Data de Publicação
2014

Evento
Proceedings of the 27th Symposium on Integrated Circuits and Systems Design - SBCCI '14

Identificadores da Publicação

Local
Aracaju, Brazil

Editora
ACM Press

Identificadores do Documento
DOI - https://doi.org/10.1145/2660540.2660998
URL - http://dx.doi.org/10.1145/2660540.2660998

Identificadores de Qualidade
Google Metrics (2021) - 8


Exportar referência

APA
Felipe P. da Silva, Alan Oliveria de Sá, Nadia Nedjah, Luiza de Macedo Mourelle, (2014). An Efficient Parallel Yet Pipelined Reconfigurable Architecture for M-PLN Weightless Neural Networks. Proceedings of the 27th Symposium on Integrated Circuits and Systems Design - SBCCI '14, -

IEEE
Felipe P. da Silva, Alan Oliveria de Sá, Nadia Nedjah, Luiza de Macedo Mourelle, "An Efficient Parallel Yet Pipelined Reconfigurable Architecture for M-PLN Weightless Neural Networks" in Proceedings of the 27th Symposium on Integrated Circuits and Systems Design - SBCCI '14, Aracaju, Brazil, 2014, pp. -, doi: 10.1145/2660540.2660998

BIBTEX
@InProceedings{52318, author = {Felipe P. da Silva and Alan Oliveria de Sá and Nadia Nedjah and Luiza de Macedo Mourelle}, title = {An Efficient Parallel Yet Pipelined Reconfigurable Architecture for M-PLN Weightless Neural Networks}, booktitle = {Proceedings of the 27th Symposium on Integrated Circuits and Systems Design - SBCCI '14}, year = 2014, pages = {-}, address = {Aracaju, Brazil}, publisher = {ACM Press} }