Modelling the XOR/XNOR Boolean Functions Complexity Using Neural Network

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Modelling the XOR/XNOR Boolean Functions Complexity Using Neural Network

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

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Bibliographic Details
Main Authors:	Prasad, P. W. C., Singh, A. K., Beg, Azam, Assi, Ali
Format:	Conference or Workshop Item
Published:	2006
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://shdl.mmu.edu.my/2115/

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