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Title: Adaptive thresholds for layered neural networks with synaptic noise
Authors: Bollé, Désiré ×
Heylen, Rob #
Issue Date: 2006
Publisher: Springer
Series Title: Lecture Notes in Computer Science vol:4131 pages:678-687
Conference: 16th International Conference on Artificial Neural Networks (ICANN 2006) location:Athens, GREECE date:10-14 Sept 2006
Abstract: The inclusion of a macroscopic adaptive threshold is studied for the retrieval dynamics of layered feedforward neural network models with synaptic noise. It is shown that if the threshold is chosen appropriately as a function of the cross-talk noise and of the activity of the stored patterns, adapting itself automatically in the course of the recall process, an autonomous functioning of the network is guaranteed. This self-control mechanism considerably improves the quality of retrieval, in particular the storage capacity, the basins of attraction and the mutual information content.
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Theoretical Physics Section
× corresponding author
# (joint) last author

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