偽記憶のない連想記憶システム : ヒステリシスニューロンと一般化逆行列モデル  [in Japanese] A Spurious-Memory Free Associative Memory System : Hysteresis Neurons and Pseudo-Inverse Matrix ModeI  [in Japanese]

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Author(s)

Abstract

The existence of spurious memories is a serious problem in associative memory systems based on recurrent neural networks. We propose an associative memory system which consists of hysteresis neurons and pseudo-inverse matrix weights, and show that it has no spurious memories. First, we show the patterns which are not included in the space spanned by the stored patterns, namely memory space, are unstable in dynamics of hysteresis neurons using the characteristics that pseudo-inverse matrix weights project the input vector onto the memory space. Next, we consider the condition under which no patterns except for the stored ones exist in the memory space.

Journal

  • The Brain & Neural Networks

    The Brain & Neural Networks 3(4), 141-146, 1996-12-05

    Japanese Neural Network Society

References:  6

Cited by:  2

Codes

  • NII Article ID (NAID)
    10008841230
  • NII NACSIS-CAT ID (NCID)
    AA11658570
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    1340766X
  • Data Source
    CJP  CJPref  J-STAGE 
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