Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1153893 | Statistics & Probability Letters | 2007 | 10 Pages |
Abstract
We define a Potts version of neural networks with q states. We give upper and lower bounds for the storage capacity of this model of associative memory in the sense of exact retrieval of the stored information. The critical capacity is of the order cN/logN where N is the number of neurons and the constant c increases quadratically with q.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Matthias Löwe, Franck Vermet,