In this paper, a learning rule for multiple pattern pairs in fuzzy associative memories (FAMs) with max-min composition units is presented. Under a certain condition, the proposed rule can efficiently encode multiple fuzzy pattern pairs in a single FAM and perfect association of these pairs can be achieved. The correctness of the proposed rule is proved and illustrative examples are given
Published in:
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
(Volume:7
)
Date of Conference: 27 Jun-2 Jul 1994