Complexity of XOR/XNOR boolean functions: a model using binary decision diagrams and back propagation neural networks

This paper proposes a model that predicts the complexity of Boolean functions with only XOR/XNOR min-terms using back propagation neural networks (BPNNs) applied to Binary Decision Diagrams (BDDs). The BPNN model (BPNNM) is developed through the training process of experimental data already obtained...

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Detalles Bibliográficos
Autores principales:	Assi, Ali, Beg, Prasad, Beg, Azam, Prasad, V. C.
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2007
Materias:	Ciencias Informáticas boolean expressions Neural nets
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/9546 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr07-3.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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