Title: Gap structure of the local field in symmetric Q Ising neural networks
Authors: Bollé, Désiré
Shim, Gyoung Moo #
Issue Date: Jun-2002
Publisher: American physical soc
Series Title: Physical Review E vol:65 pages:067101-1-067101-4
Abstract: The time evolution of the local field in symmetric Q-Ising neural networks is studied for arbitrary Q. In particular, the structure of the noise and the appearance of gaps in the probability distribution are discussed. Results are presented for several values of Q and compared with numerical simulations.
ISSN: 1063-651X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Theoretical Physics Section
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science