Identification of complex shapes using a self organizing neural system

We present a multilayer hierarchical neural system for automatic classifica tion of complex contour patterns. The system consists of a neocognitron-lik e network structure combined with self-organizing maps to automatically det ermine feature classes. We present results showing that multilayer hierarch ical networks are able to tolerate pattern distortion considerably better t han standard neural network implementations.