非単調ニューロンを用いて相関学習された連想記憶モデルのS/N解析 S/N Analysis of Associative Memory Model based on Correlation Learning using a Non-Monotonic Property

この論文にアクセスする

この論文をさがす

著者

抄録

An associative memory model based on the correlation method using a non-monotonic neuron property is proposed and investigated by signal-to-noise analysis. The signal term for recalling and the cross-talk noise term preventing recalling are negatively correlated with each other in this model, so that the variance of the internal potential becomes much smaller than that of the cross-talk noise. This is contrasted with the situation of the Hopfield model in which the two terms are independent of each other. As a result, the present model has twice larger storage capacity in comparison with the Hopfiled model.

収録刊行物

  • 日本神経回路学会誌 = The Brain & neural networks

    日本神経回路学会誌 = The Brain & neural networks 8(3), 86-93, 2001-09-05

    Japanese Neural Network Society

参考文献:  22件中 1-22件 を表示

被引用文献:  1件中 1-1件 を表示

各種コード

  • NII論文ID(NAID)
    10010424565
  • NII書誌ID(NCID)
    AA11658570
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    1340766X
  • データ提供元
    CJP書誌  CJP引用  J-STAGE 
ページトップへ