論文

査読有り
2011年

Investigation of recall image by partitioned Hopfield neural network

2011 20th European Conference on Circuit Theory and Design, ECCTD 2011
  • Tomoya Shima
  • ,
  • Chihiro Ikuta
  • ,
  • Yoko Uwate
  • ,
  • Yoshifumi Nishio

開始ページ
41
終了ページ
44
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ECCTD.2011.6043339

In this study, we propose Partitioned Hopfield Neural Network (PHNN) to realize the memory mechanism of the human brain. The PHNN is realized by arranging cell which has a small HNN in the whole image regularly without overlap. By computer simulations, we confirm that the PHNN recalls the whole image from the partial characteristic of the stored images. © 2011 IEEE.

リンク情報
DOI
https://doi.org/10.1109/ECCTD.2011.6043339
ID情報
  • DOI : 10.1109/ECCTD.2011.6043339
  • SCOPUS ID : 80155136555

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