An Analysis of Hardware Configurations for an Adaptive Weightless Neural Network

Lorrentz, Pierre, Howells, Gareth, McDonald-Maier, Klaus D. (2008) An Analysis of Hardware Configurations for an Adaptive Weightless Neural Network. In: Ao, S.I. and Gelman, Len and Hukins, David W.L. and Hunter, Andrew and Korsunsky, A.M., eds. World Congress On Engineering 2008, VOLS I-II. Lecture Notes in Engineering and Computer Science , I-II. pp. 66-71. IAE, INT ASSOC ENGINEERS-IAENG, UNIT1, 1-F, 37-39 HUNG TO ROAD, KWUN TONG, HONG KONG, 00000, PEOPLES R CHINA ISBN 978-988-98671-9-5. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14765)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
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Abstract

This paper examines the potential offered by adaptive hardware configurations of a class of weightless neural architecture called the Enhanced Probabilistic Convergent Network targeted on a Virtex-II pro FPGA which is re configurable.

The reconfiguration and adaptive capability of the Enhanced Probabilistic Convergent Network is a highly adaptive architecture offering a very fast, automated uninterrupted responses in potentially electronically harsh and isolated conditions. The hardware architecture is tested on a benchmark of unconstrained handwritten numerals from the Centre of Excellence for Document Analysis and Recognition.

Item Type:	Conference or workshop item (Paper)
Additional information:	World Congress on Engineering 2008 Imperial Coll London, London, ENGLAND, JUL 02-04, 2008
Uncontrolled keywords:	adaptive neural network; FPGA; handwritten characters; reconfiguration
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks
Institutional Unit:	Schools > School of Engineering, Mathematics and Physics > Engineering
Former Institutional Unit:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	J. Harries
Date Deposited:	18 Apr 2009 11:39 UTC
Last Modified:	20 May 2025 10:32 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/14765 (The current URI for this page, for reference purposes)

University of Kent Author Information

Howells, Gareth.

Creator's ORCID:	https://orcid.org/0000-0001-5590-0880
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