Identification of complex shapes using a self organizing neural system.
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.
Sabisch
T
T
Engineering Research and Development Centre, University of Hertfordshire, Hatfield AL10 9AB, UK.
Ferguson
A
A
Bolouri
H
H