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Identification of complex shapes using a self organizing neural system
T Sabisch1, A Ferguson, H Bolouri
1Engineering Research and Development Centre, University of Hertfordshire, Hatfield AL10 9AB, UK.
Abstract:
We present a multilayer hierarchical neural system for automatic classification of complex contour patterns. The system consists of a neocognitron-like network structure combined with self-organizing maps to automatically determine feature classes. We present results showing that multilayer hierarchical networks are able to tolerate pattern distortion considerably better than standard neural network implementations.
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