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Classifying images using goal-seeking neural network architectures

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3 Author(s)
A. de Carvalho ; Electron. Eng. Labs., Kent Univ., Canterbury, UK ; M. C. Fairhurst ; D. L. Bisset

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.<>

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IEE Proceedings I - Communications, Speech and Vision  (Volume:140 ,  Issue: 1 )