A parallel approach for backpropagation learning of neural networks

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Learning algorithms for neural networks involve CPU intensive processing and consequently great effort has been done to develop parallel implemetations intended for a reduction of learning time. This work briefly describes parallel schemes for a backpropagation algorithm and proposes a distributed...

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Detalles Bibliográficos
Autores principales:	Crespo, María Liz, Piccoli, María Fabiana, Printista, Alicia Marcela, Gallard, Raúl Hector
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	1997
Materias:	Ciencias Informáticas Neutral networks parallelised backpropagation partitioning schemes pattern partitioning system architecture Architectures Parallel Neural nets Distributed
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/23892
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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