Hardware Implementation of Feed forward Multilayer Neural Network Using the RFNNA Design Methodology
This paper proposes a novel hardware architecture for neural network that shall be named Reconfigurable Feedforward Neural Network Architecture (RFNNA) processor [1]. This neural network architecture aims to minimize the logic circuit as required by a fully parallel implementation. The Field-Program...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
2004
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Online Access: | http://eprints.utp.edu.my/12001/ |
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