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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)

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. (Contact us about this Publication)
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: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Gareth Howells
Date Deposited: 30 Nov 2016 19:09 UTC
Last Modified: 09 Aug 2019 10:09 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/59319 (The current URI for this page, for reference purposes)
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