A Morphological Associative Memory Based on Fuzzy Theory

DOI

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Other Title
  • ファジィ理論を考慮した形態学的連想記憶

Abstract

Recently many studies have been made on the associative memory. However, we were beginning to feel the limits of the performance of the conventional associative memory that is typified by Hopfield's model. Ritter proposed a morphological associative memory. In his research, he presented associative memories W and M. The associative memory W is robust under erosive noise and M is robust under dilative noise. However, these memories are not robust under general noise that includes both erosive and dilative noises. This conventional binary morphological associative memory was made associative memory with crisp mini-max algebra operations. This paper presents a new approach to morphological associative memory based on fuzzy set theory. We show the validity of this method by numerical simulations. This method is expected to show the high percentage of recalling under general noise.

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Details 詳細情報について

  • CRID
    1390282680643392384
  • NII Article ID
    130004730337
  • DOI
    10.14864/fss.23.0.701.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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