GCN: The Generalised Convergent Network

Howells, Gareth and Fairhurst, Michael and Bisset, D.L. (1995) GCN: The Generalised Convergent Network. In: Fifth International Conference on Image Processing and its Applications, 1995. International Conference on Image Processing and its Applications . IEEE. ISBN 0-85296-642-3. (doi:10.1049/cp:19950735) (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:59319)

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://www.dx.doi.org/10.1049/cp:19950735

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 a regular treatment of specialisation and generalisation with strong convergence properties. The network architecture provides the basis for a pattern recognition system capable of application in a practical environment.

Item Type:	Book section
DOI/Identification number:	10.1049/cp:19950735
Uncontrolled keywords:	Boolean algebra, Artificial intelligence, Learning systems, Neural network architecture, Pattern recognition, Random access memories
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Gareth Howells
Date Deposited:	30 Nov 2016 19:09 UTC
Last Modified:	16 Nov 2021 10:23 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/59319 (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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