DocumentCode :
879834
Title :
Classifying images using goal-seeking neural network architectures
Author :
de Carvalho, A. ; Fairhurst, M.C. ; Bisset, D.L.
Author_Institution :
Electron. Eng. Labs., Kent Univ., Canterbury, UK
Volume :
140
Issue :
1
fYear :
1993
Firstpage :
12
Lastpage :
18
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.<>
Keywords :
feature extraction; image processing; neural nets; parallel architectures; GSN; feature extractor; front-end processor; fully integrated Boolean network architecture; goal-seeking neural network architectures; parallel implementation; two-dimensional image classification;
fLanguage :
English
Journal_Title :
Communications, Speech and Vision, IEE Proceedings I
Publisher :
iet
ISSN :
0956-3776
Type :
jour
Filename :
207486
Link To Document :
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