Neural Networks Processing Mean Values of Random Variables

Details Neural Networks Processing Mean Values of Random Variables Neural Networks Processing Mean Values of Random Variables

2004-07-16

arxiv.org/abs/cond-mat/0407436v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

7 pages, 3 figures, 1 table, submitted to Phys Rev E

Scientific paper

We introduce a class of neural networks derived from probabilistic models in the form of Bayesian belief networks. By imposing additional assumptions about the nature of the probabilistic models represented in the belief networks, we derive neural networks with standard dynamics that require no training to determine the synaptic weights, that can pool multiple sources of evidence, and that deal cleanly and consistently with inconsistent or contradictory evidence. The presented neural networks capture many properties of Bayesian belief networks, providing distributed versions of probabilistic models.

Affiliated with

Also associated with

No associations

Rating

Neural Networks Processing Mean Values of Random Variables 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 Neural Networks Processing Mean Values of Random Variables, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Neural Networks Processing Mean Values of Random Variables will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-636224