Hardware radial basis function neural network automatic generation

This paper presents a parallel architecture for a radial basis function (RBF) neural network used for pattern recognition. This architecture allows defining sub-networks which can be activated sequentially. It can be used as a fruitful classification mechanism in many application fields. Several imp...

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Bibliographic Details
Published in:	Journal of computer science and technology (La Plata) Vol. 11; no. 1; pp. 15 - 20
Main Authors:	Leiva, Lucas, Acosta, Nelson
Format:	Journal Article
Language:	English Spanish
Published:	La Plata Universidad Nacional de la Plata, Journal of Computer Science and Technology 01-04-2011 Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
Subjects:	architecture Computer architecture Critical path fpga Neural networks Pattern recognition Radial basis function rbf neural networks
Online Access:	Get full text
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Summary:	This paper presents a parallel architecture for a radial basis function (RBF) neural network used for pattern recognition. This architecture allows defining sub-networks which can be activated sequentially. It can be used as a fruitful classification mechanism in many application fields. Several implementations of the network on a Xilinx FPGA Virtex 4-(xc4vsx25) are presented, with speed and area evaluation metrics. Some network improvements have been achieved by segmenting the critical path. The results expressed in terms of speed and area are satisfactory and have been applied to pattern recognition problems.
ISSN:	1666-6046 1666-6038