Title :
The chaotic self-organizing map
Author :
Dingle, Alison A. ; Andreae, John H. ; Jones, Richard D.
Author_Institution :
Christchurch Hospital, New Zealand
Abstract :
A chaotic self-organizing map can be produced by replacing the linear neural units of the conventional self-organizing map with neural units capable of producing chaos. The introduction of chaos into the self-organizing map is shown to improve the ability of the network to cluster input patterns
Keywords :
chaos; probability; self-organising feature maps; chaos; chaotic neural unit; chaotic self-organizing map; input pattern clustering ability; linear neural units; Bifurcation; Biomedical engineering; Chaos; Difference equations; Displays; Logistics; Neural networks; Organizing; Physics; Vectors;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-4260-2
DOI :
10.1109/ANNES.1993.323092
