An effective associative memory for pattern recognition
无序系统与神经网络
2007-05-23 v1
摘要
Neuron models of associative memory provide a new and prospective technology for reliable date storage and patterns recognition. However, even when the patterns are uncorrelated, the efficiency of most known models of associative memory is low. We developed a new version of associative memory with record characteristics of its storage capacity and noise immunity, which, in addition, is effective when recognizing correlated patterns.
引用
@article{arxiv.cond-mat/0402500,
title = {An effective associative memory for pattern recognition},
author = {B. V. Kryzhanovsky and L. B. Litinskii and A. Fonarev},
journal= {arXiv preprint arXiv:cond-mat/0402500},
year = {2007}
}
备注
5 pages, 4 eps-figures, Lecture on 5th International Symposium on Intelligent Data Analysis-2003