Adaptive thresholds for layered neural networks with synaptic noise

Details Adaptive thresholds for layered neural networks with synaptic noise Adaptive thresholds for layered neural networks with synaptic noise

2006-05-24

arxiv.org/abs/cond-mat/0605590v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

10 pages, 5 figures, accepted for the ICANN 2006 conference

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Adaptive thresholds for layered neural networks with synaptic noise does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Adaptive thresholds for layered neural networks with synaptic noise, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Adaptive thresholds for layered neural networks with synaptic noise will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-71224