Identification of complex shapes using a self organizing neural system
T. Sabisch, Alistair Ferguson, Hamid Bolouri · IEEE Transactions on Neural Networks · 2000
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.