Optimising the clustering performance of a self-organising logic neural network with topology-preserving capabilities

In this article, a self-organising logic neural network is studied. This network successfully clusters input patterns into classes characterised by a high similarity, while assigning these classes to the network nodes so that relationships existing in the pattern space are replicated on the network...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Pattern recognition letters 1994, Vol.15 (10), p.1019-1028
1. Verfasser:	Tambouratzis, G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Logic neural networks Performance optimisation Self-organisation Topology-preserving mapping
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!