Logic Learning in Hopfield Networks

Computer Science – Logic in Computer Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

To appear in Mod. Appl. Sci

Scientific paper

Synaptic weights for neurons in logic programming can be calculated either by using Hebbian learning or by Wan Abdullah's method. In other words, Hebbian learning for governing events corresponding to some respective program clauses is equivalent with learning using Wan Abdullah's method for the same respective program clauses. In this paper we will evaluate experimentally the equivalence between these two types of learning through computer simulations.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Logic Learning in Hopfield Networks 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 Logic Learning in Hopfield Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Logic Learning in Hopfield Networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-728118

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.