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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
PERGAMON-ELSEVIER SCIENCE LTD
2008
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2670/ http://shdl.mmu.edu.my/2670/1/772.pdf |