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Classifying images using goal-seeking neural-network architectures

de Carvalho, Andre C.P.L.F., Fairhurst, Michael, Bisset, D.L. (1993) Classifying images using goal-seeking neural-network architectures. IEE Proceedings I: Communications Speech and Vision, 140 (1). pp. 12-18. ISSN 0956-3776. (doi:10.1049/ip-i-2.1993.0004) (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:20870)

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:
https://doi.org/10.1049/ip-i-2.1993.0004

Abstract

New results, which have been achieved by using neural network architectures for two-dimensional image classification based on the goal-seeking neuron (GSN), are presented. A number of important practical issues concerning mapping topologies and the parallel implementation of GSN-based architectures are also investigated, together with a proposal for the development of a related neurally based feature extractor to be used as a front-end processor in a fully integrated Boolean network architecture.

Item Type: Article
DOI/Identification number: 10.1049/ip-i-2.1993.0004
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: R.F. Xu
Date Deposited: 15 Jul 2009 10:24 UTC
Last Modified: 09 Mar 2023 11:31 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/20870 (The current URI for this page, for reference purposes)

University of Kent Author Information

Fairhurst, Michael.

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