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