Classifying images using goal-seeking neural-network architectures

de Carvalho, Andre C.P.L.F. and Fairhurst, Michael and 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. (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)

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
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications)
Divisions:	Faculties > Sciences > School of Engineering and Digital Arts
Depositing User:	R.F. Xu
Date Deposited:	15 Jul 2009 10:24 UTC
Last Modified:	01 Jul 2014 10:22 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/20870 (The current URI for this page, for reference purposes)