Decarvalho, A. and Fairhurst, M.C. and Bisset, D.L. (1994) An Integrated Boolean Neural-Network for Pattern-Classification. Pattern Recognition Letters, 15 (8). pp. 807-813. ISSN 0167-8655.
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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.
|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:||29 May 2012 09:08|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/20162 (The current URI for this page, for reference purposes)|
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