Classifying images using goal-seeking neural-network architectures

Decarvalho, A. and Fairhurst, M.C. 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 available from this repository)

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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 > Science Technology and Medical Studies > School of Engineering and Digital Arts
Depositing User: R.F. Xu
Date Deposited: 15 Jul 2009 10:24
Last Modified: 15 Jul 2009 10:24
Resource URI: http://kar.kent.ac.uk/id/eprint/20870 (The current URI for this page, for reference purposes)
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