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2008 (EN)
Batch self-organizing map algorithm (EN)

Βασιλάς, Νικόλαος (EL)

Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε. (EL)

In this paper, we examine necessary and sufficient conditions that ensure self-organization of the batch variant of the self-organizing map algorithm for 1-D networks and for quantized weights and inputs. Using Markov chain formalism, it is shown that the existing analysis for the original algorithm can be extended to also include the more general batch variant. Finally, simulations verify the theoretical results, relate the speed of weight ordering to the distribution of the inputs and show the existence of metastable states of the Markov chain. (EN)

short paper
conferenceItem

quantization effects (EN)
Neural networks (EN)
Self-organizing maps (EN)
νευρωνικά δίκτυα (EN)
επιδράσεις της κβάντωσης (EN)
διαδικασίες Μάρκοβ (EN)
αυτο-οργανούμενοι χάρτες (EN)

ΤΕΙ Αθήνας (EL)
Technological Educational Institute of Athens (EN)

IEEE International Joint Conference on Neural Networks (IJCNN'08), WCCI 2008 (EN)

English

2008-06-01

DOI: 10.1109/IJCNN.2008.4634061

IEEE (EN)



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