Influences of perturbations of training pattern pairs on max-product fuzzy associative memory
训练模式的摄动对最大—乘积型模糊联想记忆网络的影响

A new concept was established in this paper that the robustness of a feed-forward fuzzy associative memory to perturbations of training pattern pair. Then a Max-Product-based Fuzzy Associative Memory (Max-Product FAM) was analyzed. Investigation reveals that such robustness of the memory is good when the fuzzy Hebbian learning algorithm is used, however is poor when another learning algorithm is employed. Finally, an experiment is given to testify the theoretical conclusion and illustrate practical application of Max-product FAM.