CLASSIFYING IMAGES USING GOAL-SEEKING NEURAL-NETWORK ARCHITECTURES

Authors
DECARVALHO A FAIRHURST MC BISSET DL
Citation
A. Decarvalho et al., CLASSIFYING IMAGES USING GOAL-SEEKING NEURAL-NETWORK ARCHITECTURES, IEE proceedings. Part I. Communications, speech and vision, 140(1), 1993, pp. 12-18
Citations number
5
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEE proceedings. Part I. Communications, speech and vision → ACNP
ISSN journal
09563776
Volume
140
Issue
1
Year of publication
1993
Pages
12 - 18
Database
ISI
SICI code
0956-3776(1993)140:1<12:CIUGNA>2.0.ZU;2-6
Abstract
New results, which have been achieved by using neural network architec tures for two-dimensional image classification based on the goal-seeki ng 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 fo r the development of a related neurally based feature extractor to be used as a front-end processor in a fully integrated Boolean network ar chitecture.