Correlated patterns in non-monotonic graded-response perceptrons
Disordered Systems and Neural Networks
2009-10-31 v1 Statistical Mechanics
Abstract
The optimal capacity of graded-response perceptrons storing biased and spatially correlated patterns with non-monotonic input-output relations is studied. It is shown that only the structure of the output patterns is important for the overall performance of the perceptrons.
Keywords
Cite
@article{arxiv.cond-mat/9907392,
title = {Correlated patterns in non-monotonic graded-response perceptrons},
author = {D. Bolle and T. Verbeiren},
journal= {arXiv preprint arXiv:cond-mat/9907392},
year = {2009}
}
Comments
4 pages, 4 figures