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BCN - A Novel Network Architecture for ram-Based Neurons

Howells, Gareth, Fairhurst, Michael, Bisset, D.L. (1995) BCN - A Novel Network Architecture for ram-Based Neurons. Pattern Recognition Letters, 16 (3). pp. 297-303. ISSN 0167-8655. (doi:10.1016/0167-8655(94)00098-N) (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:19608)

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)00098-N

Abstract

A new architecture for networks of RAM-based Boolean neurons is presented which, whilst retaining learning and generalisation properties possessed by existing network architectures, allows for arbitrary target patterns for pattern classes with strong convergence properties. The network architecture provides the basis for a pattern recognition system capable of application in a practical environment.

Item Type: Article
DOI/Identification number: 10.1016/0167-8655(94)00098-N
Uncontrolled keywords: NEURAL NETWORKS; RAM-BASED NEURONS; FAST LEARNING
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: 29 May 2009 11:19 UTC
Last Modified: 16 Nov 2021 09:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/19608 (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
CReDIT Contributor Roles:

Fairhurst, Michael.

Creator's ORCID:
CReDIT Contributor Roles:
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