Some Exact Results of Hopfield Neural Networks and Applications
Biological Physics
2007-05-23 v1 q-bio
Abstract
A set of fixed points of the Hopfield type neural network was under investigation. Its connection matrix is constructed with regard to the Hebb rule from a highly symmetric set of the memorized patterns. Depending on the external parameter the analytic description of the fixed points set had been obtained. And as a conclusion, some exact results of Hopfield neural networks were gained.
Keywords
Cite
@article{arxiv.physics/9907042,
title = {Some Exact Results of Hopfield Neural Networks and Applications},
author = {Hong-Liang Lu and Xi-Jun Qiu},
journal= {arXiv preprint arXiv:physics/9907042},
year = {2007}
}
Comments
4 pages, latex, no figures