de Carvalho, Andre C.P.L.F., Fairhurst, Michael, Bisset, D.L. (1994) An Integrated Boolean Neural-Network for Pattern-Classification. Pattern Recognition Letters, 15 (8). pp. 807-813. ISSN 0167-8655. (doi:10.1016/0167-8655(94)90009-4) (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:20162)
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. | |
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 |
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DOI/Identification number: | 10.1016/0167-8655(94)90009-4 |
Uncontrolled keywords: | BOOLEAN NEURAL NETWORKS; PATTERN RECOGNITION; INTEGRATED ARCHITECTURES |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | P. Ogbuji |
Date Deposited: | 30 Jun 2009 18:32 UTC |
Last Modified: | 05 Nov 2024 09:57 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/20162 (The current URI for this page, for reference purposes) |
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