An Integrated Boolean Neural-Network for Pattern-Classification

de Carvalho, Andre C.P.L.F. and Fairhurst, Michael and Bisset, D.L. (1994) An Integrated Boolean Neural-Network for Pattern-Classification. Pattern Recognition Letters, 15 (8). pp. 807-813. ISSN 0167-8655. (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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Official URL
http://dx.doi.org/10.1016/0167-8655(94)90009-4

Abstract

This paper describes an integrated approach to pattern classification where a self-organising Boolean neural network architecture is used as a front-end processor to a feedforward neural architecture based on goal-seeking principles (the GSN architecture). The performance of the integrated architecture is illustrated by considering its application to a character recognition problem.

Item Type: Article
Uncontrolled keywords: BOOLEAN NEURAL NETWORKS; PATTERN RECOGNITION; INTEGRATED ARCHITECTURES
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Theoretical Computing Group
Depositing User: P. Ogbuji
Date Deposited: 30 Jun 2009 18:32
Last Modified: 01 Jul 2014 10:22
Resource URI: https://kar.kent.ac.uk/id/eprint/20162 (The current URI for this page, for reference purposes)
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