Chaotic bidirectional associative memory

Yuko Osana, Motonobu Hattori, Masafumi Hagiwara

研究成果: Paper査読

31 被引用数 (Scopus)

抄録

A Chaotic Bidirectional Associative Memory (CBAM) is proposed and simulated. It can deal with one-to-many associations such as {(A, a), (A, b), (A, c), ...}. In the CBAM, in order to enable one-to-many associations, each training pair is memorized together with its own contextual information and chaotic neurons are employed in a part of the network corresponding to the contextual information. Since the chaotic neurons change their states by chaos, the one-to-many associations can be realized in the CBAM.

本文言語English
ページ816-821
ページ数6
出版ステータスPublished - 1996 1 1
イベントProceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) - Washington, DC, USA
継続期間: 1996 6 31996 6 6

Other

OtherProceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4)
CityWashington, DC, USA
Period96/6/396/6/6

ASJC Scopus subject areas

  • ソフトウェア

フィンガープリント

「Chaotic bidirectional associative memory」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル