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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Bibliographic Details
Main Authors: Sun, Ivan Teh Fu, Zain Ali, Noohul Basheer, Hussin, Fawnizu Azmadi
Format: Conference or Workshop Item
Published: 2004
Online Access:http://eprints.utp.edu.my/12001/
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