A special kind of fuzzy associative memory system (FAM)-regularized fuzzy associative memory and its learning algorithm-regularization learning algorithm are presented. The regularized FAM has better performance than the FAMs designed by traditional methods
with lackage of and noise in training data exerting little influence on its performance. Finally
the application of the regularized FAM in fuzzy controller is illustrated with an example.