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) |
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