A parallel approach for backpropagation learning of neural networks

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Fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropiate tools for Intelligent Computer Systems. But on the other hand, learning algorithms for neural networks involve CPU intensive processing and consequently gr...

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Detalles Bibliográficos
Autores principales:	Crespo, María Liz, Piccoli, María Fabiana, Printista, Alicia Marcela, Gallard, Raúl Hector
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	1999
Materias:	Ciencias Informáticas Neural nets
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/9378 http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_01/a%20parallel.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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