Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2003-02-03
Physics
Condensed Matter
Disordered Systems and Neural Networks
5 pages, 3 figures, accepted for publication in Phys Rev E
Scientific paper
10.1103/PhysRevE.67.041906
We show that symmetric n-mixture states, when they exist, are almost never
stable in autoassociative networks with threshold-linear units. Only with a
binary coding scheme we could find a limited region of the parameter space in
which either 2-mixtures or 3-mixtures are stable attractors of the dynamics.
Roudi Yasser
Treves Alessandro
No associations
LandOfFree
Disappearance of Spurious States in Analog Associative Memories 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 Disappearance of Spurious States in Analog Associative Memories, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Disappearance of Spurious States in Analog Associative Memories will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-350094