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A learning rule for fuzzy associative memories

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3 Author(s)
Fan Junbo ; Inst. of Neural Networks & Inf. Tech., Southwest Jiaotong Univ., Sichuan, China ; Jin Fan ; Shi Yan

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