Applicability of feed-forward and recurrent neural networks to Boolean function complexity modeling

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Applicability of feed-forward and recurrent neural networks to Boolean function complexity modeling

In this paper, we present the feed-forward neural network (FFNN) and recurrent neural network (RNN) models for predicting Boolean function complexity (BFC). In order to acquire the training data for the neural networks (NNs), we conducted experiments for a large number of randomly generated single o...

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Bibliographic Details
Main Authors:	BEG, A, CHANDANAPRASAD, P
Format:	Article
Language:	English
Published:	PERGAMON-ELSEVIER SCIENCE LTD 2008
Subjects:	T Technology (General) QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/2670/ http://shdl.mmu.edu.my/2670/1/772.pdf

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