%0 Journal Article
%A GAO Xiang1
%A MA Hengbing2
%T Analysis of robustness of fuzzy associative memory based on Einstain’s t-norm
%D 2014
%R
%J Computer Engineering and Applications
%P 96-100
%V 50
%N 5
%X The paper analyses the robustness of learning algorithm for fuzzy associative memory based on Einstain’s t-norm by using the properties of fuzzy bidirectional associative memories based on triangular norms and the overall situation robustness of fuzzy bidirectional associative memories. The conclusion that the learning algorithm can keep good overall robustness when the perturbations are positive is proved in theory and verified by experiment in this paper. And that the learning algorithm doesn’t satisfy overall situation robustness when the noise contains negative value is proved by experiment. What is more, the relation between the maximum of perturbations of training patterns and the maximum of perturbations of the output is also analyzed and the relation curve is gotten.
%U http://cea.ceaj.org/EN/abstract/article_31607.shtml