Introduction to implicative fuzzy associative memories

  title={Introduction to implicative fuzzy associative memories},
  author={M. E. Valle and Peter Sussner and Fernando Gomide},
  journal={2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)},
  pages={925-930 vol.2}
Associative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentation of a possibly noisy or incomplete version of an input pattern. In this paper, we introduce implicative fuzzy associative memories (IFAM's), a class of associative neural memories models based on fuzzy set theory. An IFAM consists of a network of completely interconnected Pedrycz logic neurons whose connection weights… CONTINUE READING


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